# Bachelor of Science in Organizational and Business Psychology

Through academic, applied, and research experiences, students in the Bachelor of Science in Business Psychology degree program will gain a variety of skills in data analysis, research methodology, oral and written communication, leadership adeptness, problem solving, and critical thinking. Students will learn how to apply their knowledge in psychological and brain sciences to design work environments, equipment, and systems to make them more efficient, safer, and easier to operate, by understanding the capabilities and limitations of the human user, consumer, and worker. Through the study and application of principles in leadership, perceptions of fairness, team dynamics, employee satisfaction, worker motivation, and workplace stress, students will learn how the emotional and motivational side of work impacts operational effectiveness of organizations. Students will also gain an understanding of buyer behavior and consumer decision-making by examining the fundamental issues of consumer behavior from psychological and data-analytic frameworks.

## Requirements

**Entry-level sequences.**One of the following options:**Option One.****Introduction to Psychological and Brain Sciences.**One (1) course:- PSY-P 155 Introduction to Psychological and Brain Sciences

# PSY-P 155 Introduction to Psychological and Brain Sciences

- Credits
- 3
- Prerequisites
- None
- Description
- An introduction to psychological and brain sciences for psychology majors. Introduces students to the history of psychology and its place in science, to the experimental method, and to the broad range of topics studied by psychological scientists.
- Repeatability
- Credit given for only one of PSY-P 101, PSY-P 106, PSY-P 151, or PSY-P 155.

- Spring 2024CASE NMcourse

**Methods of Experimental Psychology.**One (1) course:- PSY-P 211 Methods of Experimental Psychology

# PSY-P 211 Methods of Experimental Psychology

- Credits
- 3
- Prerequisites
- PSY-P 101 or PSY-P 155
- Description
- Design and execution of simple experiments, treatment of results, search of the literature, and preparation of experimental reports.

- Spring 2024CASE NMcourse

**Option Two.****Introductory Psychology I.**One (1) course:- PSY-P 101 Introductory Psychology I

# PSY-P 101 Introductory Psychology I

- Credits
- 3
- Prerequisites
- None
- Description
- Introduction to psychology; its methods, data, and theoretical interpretations in areas of learning, sensory psychology, and psychophysiology.
- Repeatability
- Credit given for only one of PSY-P 101, PSY-P 106, PSY-P 151, or PSY-P 155. Equivalent to IUPUI PSY-B 105 and PSY-P 151.

- Spring 2024CASE NMcourse

**Introductory Psychology II.**One (1) course:- PSY-P 102 Introductory Psychology II

# PSY-P 102 Introductory Psychology II

- Credits
- 3
- Prerequisites
- PSY-P 101
- Description
- Continuation of PSY-P 101. Developmental, social, personality, and abnormal psychology.
- Repeatability
- Credit given for only one of PSY-P 102, PSY-P 106, or PSY-P 152. Equivalent to IUPUI PSY-B 104 and PSY-P 152.

- Spring 2024CASE SHcourse

**Methods of Experimental Psychology.**One (1) course:- PSY-P 211 Methods of Experimental Psychology

# PSY-P 211 Methods of Experimental Psychology

- Credits
- 3
- Prerequisites
- PSY-P 101 or PSY-P 155
- Description
- Design and execution of simple experiments, treatment of results, search of the literature, and preparation of experimental reports.

- Spring 2024CASE NMcourse

**Psychological and Brain Sciences Core.****Social Psychology.**One (1) course:- PSY-P 304 Social Psychology and Individual Differences

# PSY-P 304 Social Psychology and Individual Differences

- Credits
- 3
- Prerequisites
- PSY-P 101 and PSY-P 102; or PSY-P 155
- Description
- A foundations course illustrating how psychological questions and problems can be addressed from the social, group, and individual differences level of analysis.
- Repeatability
- Credit given for only one of PSY-P 304 or PSY-P 320.

- Spring 2024CASE SHcourse

**Cognitive Psychology.**One (1) course:- PSY-P 335 Cognitive Psychology

# PSY-P 335 Cognitive Psychology

- Credits
- 3
- Prerequisites
- PSY-P 101 or PSY-P 155
- Description
- Introduction to human cognitive processes, including attention and perception, memory, psycholinguistics, problem solving, and thinking.

- Spring 2024CASE NMcourse

**Neuroscience.**One (1) course:- PSY-P 326 Behavioral Neuroscience
- PSY-P 346 Neuroscience

# PSY-P 326 Behavioral Neuroscience

- Credits
- 3
- Prerequisites
- PSY-P 101 or PSY-P 155; and one of BIOL-L 100, BIOL-L 111, BIOL-L 112, or equivalent
- Description
- An examination of the cellular bases of behavior, emphasizing contemporary views and approaches to the study of the nervous system. Neural structure, function, and organization are considered in relation to sensory and motor function, motivation, learning, and other basic behaviors.
- Repeatability
- Credit given for only one of PSY-P 326 or PSY-P 346.

# PSY-P 346 Neuroscience

- Credits
- 3
- Prerequisites
- PSY-P 101 or PSY-P 155
- Notes
- R: 3 credits of Biology such as BIOL-L 100, BIOL-L 104, BIOL-L 111, BIOL-L 112, BIOL-A 215, or BIOL-P 215
- Description
- A survey of contemporary neuroscience, examining the neural basis of behavior with approaches including molecular, cellular, developmental, cognitive, and behavioral neuroscience. Sensory and motor function, learning and memory, and other behaviors are considered using anatomical, physiological, behavioral, biochemical, and genetic approaches, providing a balanced view of neuroscience.
- Repeatability
- Credit given for only one of PSY-P 326 or PSY-P 346.

**Career Planning Sequence.****Careers Module 1.**One (1) course:- PSY-C 109 Careers Module 1 - Welcome to PBS

# PSY-C 109 Careers Module 1 - Welcome to PBS

- Credits
- 1
- Prerequisites
- None
- Description
- First module of the career exploration sequence. Introduces career development resources and opportunities in and around the Department of Psychological and Brain Sciences.

**Careers Module 2.**One (1) course:- PSY-C 209 Careers Module 2 - Self Exploration

# PSY-C 209 Careers Module 2 - Self Exploration

- Credits
- 1
- Prerequisites
- PSY-C 109; or consent of instructor
- Description
- Second module of the career exploration sequence, focusing on exploring the self: identity, professional goals, skills and strengths.

**Careers Module 3.**One (1) course:- PSY-C 309 Careers Module 3 - Practical High Gear Exploration

# PSY-C 309 Careers Module 3 - Practical High Gear Exploration

- Credits
- 1
- Prerequisites
- PSY-C 209; or consent of instructor
- Description
- Third module of the career exploration sequence, focusing on practical skills for career exploration, including job search techniques and teamwork with peers.

**Data Analysis and Modeling.****Mathematics.**One (1) course:- MATH-M 118 Finite Mathematics
- MATH-V 118 Finite Mathematics with Applications
- MATH-S 118 Honors Finite Mathematics
- MATH-J 113 Introduction to Calculus with Applications
- The following two-course sequence:
- MATH-D 116 Introduction to Finite Mathematics I
- MATH-D 117 Introduction to Finite Mathematics II

- MATH-M 119 Brief Survey of Calculus I
- MATH-V 119 Applied Brief Calculus I
- MATH-M 120 Brief Survey of Calculus II
- MATH-M 211 Calculus I
- MATH-M 212 Calculus II
- MATH-M 301 Linear Algebra and Applications
- MATH-M 303 Linear Algebra for Undergraduates
- MATH-M 311 Calculus III
- MATH-M 312 Calculus IV
- MATH-M 321 Intuitive Topology
- MATH-M 330 Exploring Mathematical Ideas
- MATH-M 343 Introduction to Differential Equations with Applications I
- MATH-M 344 Introduction to Differential Equations with Applications II
- MATH-M 348 Discrete Mathematical Models
- MATH-M 353 Discrete Mathematics
- MATH-M 365 Introduction to Probability and Statistics
- MATH-M 371 Elementary Computational Methods
- MATH-M 380 History of Mathematics
- MATH-M 384 Logic
- MATH-M 385 Mathematics from Language
- MATH-M 391 Introduction to Mathematical Reasoning
- MATH-M 403 Introduction to Modern Algebra I
- MATH-M 404 Introduction to Modern Algebra II
- MATH-M 405 Number Theory
- MATH-M 409 Linear Transformations
- MATH-M 413 Introduction to Analysis I
- MATH-M 414 Introduction to Analysis II
- MATH-M 415 Elementary Complex Variables with Applications
- MATH-M 420 Metric Space Topology
- MATH-M 435 Introduction to Differential Geometry
- MATH-M 436 Introduction to Geometries
- MATH-M 441 Introduction to Partial Differential Equations with Applications I
- MATH-M 442 Introduction to Partial Differential Equations with Applications II
- MATH-M 447 Mathematical Models and Applications I
- MATH-M 451 The Mathematics of Finance
- MATH-M 453 Cryptography
- MATH-M 463 Introduction to Probability Theory I
- MATH-M 464 Introduction to Probability Theory II
- MATH-M 466 Introduction to Mathematical Statistics
- MATH-M 471 Numerical Analysis I
- MATH-M 472 Numerical Analysis II
- MATH-M 482 Modal Logic
- MATH-M 490 Problem Seminar
- MATH-S 211 Honors Calculus I
- MATH-S 212 Honors Calculus II
- MATH-S 303 Honors Course in Linear Algebra
- MATH-S 311 Honors Course in Calculus III
- MATH-S 312 Honors Course in Calculus IV
- MATH-S 343 Honors Course in Differential Equations
- MATH-S 344 Honors Course in Differential Equations II
- MATH-S 403 Honors Course in Modern Algebra I
- MATH-S 404 Honors Course in Modern Algebra II
- MATH-S 413 Honors Course in Analysis I
- MATH-S 414 Honors Course in Analysis II
- MATH-S 415 Honors Elementary Complex Variables
- MATH-S 463 Honors Course in Probability Theory I

# MATH-M 118 Finite Mathematics

- Credits
- 3
- Prerequisites
- None
- Notes
- R: To be successful, students will demonstrate mastery of two years of high school algebra as indicated by an appropriate ALEKS score or completion of MATH-M 014, MATH-M 018, or MATH-J 111
- Description
- Sets, counting, basic probability, including random variables and expected values. Linear systems, matrices, linear programming, and applications.
- Repeatability
- Credit given for only one of MATH-A 118, MATH-M 118, MATH-S 118, MATH-V 118; or MATH-D 116 and MATH-D 117.

- Spring 2024CASE MMcourse

- Spring 2024CASE NMcourse

# MATH-V 118 Finite Mathematics with Applications

- Credits
- 3
- Prerequisites
- None
- Notes
- R: To be successful, students will demonstrate mastery of two years of high school algebra as indicated by an appropriate ALEKS score or completion of MATH-M 014, MATH-M 018, or MATH-J 111
- Description
- Sets, counting, basic probability, linear modelling, and other discrete topics. Applications to various areas depending on topic. Possibilities include social and biological sciences and consumer mathematics.
- Repeatability
- Credit given for only one of MATH-A 118, MATH-M 118, MATH-S 118, MATH-V 118; or MATH-D 116 and MATH-D 117.

- Spring 2024CASE NMcourse

# MATH-S 118 Honors Finite Mathematics

- Credits
- 3
- Prerequisites
- Hutton Honors College membership
- Notes
- R: To be successful students will demonstrate mastery of two years of high school algebra as indicated by an appropriate ALEKS score or completion of MATH-M 014, MATH-M 018, or MATH-J 111
- Description
- Designed for students of outstanding ability in mathematics. Covers all material of MATH-M 118 and additional topics from statistics and game theory. Computers may be used in this course, but no previous experience is assumed.

- Spring 2024CASE MMcourse

- Spring 2024CASE NMcourse

# MATH-J 113 Introduction to Calculus with Applications

- Credits
- 3
- Prerequisites
- MATH-J 112 with a grade of C- or higher; or consent of department
- Notes
- For Groups students only. MATH-J 113 can count toward the College of Arts and Sciences Foundations requirement in mathematical modeling and the College of Arts and Sciences natural and mathematical sciences Breadth of Inquiry requirement for Groups studentsï»¿
- Description
- A survey of calculus.
- Repeatability
- Credit given for only one of MATH-J 113, MATH-M 119, MATH-V 119, MATH-M 211, or MATH-S 211.

- Spring 2024CASE MMcourse

- Spring 2024CASE NMcourse

# MATH-D 116 Introduction to Finite Mathematics I

- Credits
- 2
- Prerequisites
- Mastery of two years of high school algebra as indicated by an ALEKS score of 40 or higher; or MATH-M 014, MATH-M 018, or MATH-J 111.
- Description
- MATH-D 116 and MATH-D 117 is a two-course sequence that covers sets, counting, basic probability, including random variables and expected values, linear systems, matrices, linear programming, and applications.
- Repeatability
- Credit given for only one of MATH-A 118, MATH-M 118, MATH-S 118, MATH-V 118; or MATH-D 116 and MATH-D 117.

# MATH-D 117 Introduction to Finite Mathematics II

- Credits
- 2
- Prerequisites
- MATH-D 116 or consent of the department
- Notes
- MATH-D 116 and MATH-D 117 is a two-course sequence
- Description
- Topics for the course are taken from MATH-M 118. Credit for the College of Arts and Sciences Foundations requirement in Mathematical Modeling or the College's N&M Breadth of Inquiry requirement will be given only upon completion of both MATH-D 116 and MATH-D 117 with a passing grade.
- Repeatability

- Spring 2024CASE MMcourse

- Spring 2024CASE NMcourse

# MATH-M 119 Brief Survey of Calculus I

- Credits
- 3
- Prerequisites
- None
- Notes
- R: To be successful, students will demonstrate mastery of two years of high school algebra, one year of high school geometry, and pre-calculus as indicated by an appropriate ALEKS score or completion of MATH-M 025 or MATH-M 027
- Description
- Introduction to calculus. Primarily for students from business and the social sciences.
- Repeatability
- Credit given for only one of MATH-J 113, MATH-M 119, MATH-V 119, MATH-M 211, or MATH-S 211.

- Spring 2024CASE MMcourse

- Spring 2024CASE NMcourse

# MATH-V 119 Applied Brief Calculus I

- Credits
- 3
- Prerequisites
- None
- Notes
- R: To be successful, students will demonstrate mastery of two years of high school algebra, one year of high school geometry, and pre-calculus as indicated by an appropriate ALEKS score or completion of MATH-M 025 or MATH-M 027
- Description
- Introduction to calculus. Variable topic course with emphasis on non-business topics and applications. The topic(s) will be listed in the Schedule of Classes each semester.
- Repeatability
- A student may receive credit for only one of the following: MATH-J 113, MATH-M 119, MATH-M 211, MATH-S 211, or MATH-V 119.

- Spring 2024CASE NMcourse

# MATH-M 120 Brief Survey of Calculus II

- Credits
- 3
- Prerequisites
- MATH-M 119 or MATH-V 119
- Description
- A continuation of MATH-M 119 covering topics in elementary differential equations, calculus of functions of several variables and infinite series. Intended for non-physical science students.
- Repeatability
- Credit given for only one of MATH-M 120 or MATH-M 212.

- Spring 2024CASE NMcourse

# MATH-M 211 Calculus I

- Credits
- 4
- Prerequisites
- None
- Notes
- R: To be successful, students will demonstrate mastery of two years of high school algebra, one year of high school geometry, and pre-calculus, and trigonometry as indicated by an appropriate ALEKS score or completion of MATH-M 027
- Description
- Limits, continuity, derivatives, definite and indefinite integrals, applications.
- Repeatability
- A student may receive credit for only one of the following: MATH-J 113, MATH-M 119, MATH-V 119, MATH-M 211, or MATH-S 211.

- Spring 2024CASE MMcourse

- Spring 2024CASE NMcourse

# MATH-M 212 Calculus II

- Credits
- 4
- Prerequisites
- MATH-M 211 or MATH-S 211; or consent of department
- Description
- Techniques of integration (by parts, trigonometric substitutions, partial fractions), improper integrals, volume, work, arc length, surface area, infinite series.
- Repeatability
- Credit given for only one of MATH-M 120 or MATH-M 212.

- Spring 2024CASE NMcourse

# MATH-M 301 Linear Algebra and Applications

- Credits
- 3
- Prerequisites
- MATH-M 212, MATH-M 213, or MATH-S 212; or MATH-M 211 and CSCI-C 241; or MATH-S 211 and CSCI-C 241
- Description
- Solving systems of linear equations, matrix algebra, determinants, vector spaces, eigenvalues and eigenvectors. Selection of advanced topics. Applications throughout. Computer used for theory and applications.
- Repeatability
- Credit given for only one of MATH-M 301 or MATH-M 303.

- Spring 2024CASE NMcourse

# MATH-M 303 Linear Algebra for Undergraduates

- Credits
- 3
- Prerequisites
- MATH-M 212, MATH-M 213, or MATH-S 212; or MATH-M 211 and CSCI-C 241; or MATH-S 211 and CSCI-C 241
- Description
- Introduction to the theory of real vector spaces. Coordinate s, linear dependence, bases. Linear transformations and matrix calculus. Determinants and rank. Eigenvalues and eigenvectors.
- Repeatability
- Credit given for only one of MATH-M 301, MATH-M 303, or MATH-S 303.

- Spring 2024CASE NMcourse

# MATH-M 311 Calculus III

- Credits
- 4
- Prerequisites
- MATH-M 212, MATH-M 213, or MATH-S 212
- Description
- Elementary geometry of 2, 3, and n-space; functions of several variables; partial differentiation; minimum and maximum problems; multiple integration.

- Spring 2024CASE NMcourse

# MATH-M 312 Calculus IV

- Credits
- 3
- Prerequisites
- MATH-M 311 or MATH-S 311
- Description
- Differential calculus of vector-valued functions, transformation of coordinates, change of variables in multiple integrals. Vector integral calculus: line integrals, Green\'s theorem, surface integrals, Stokes\' theorem. Applications.
- Repeatability
- Credit given for only one of MATH-M 312 or MATH-S 312.

# MATH-M 321 Intuitive Topology

- Credits
- 3
- Prerequisites
- MATH-M 212, MATH-M 213, or MATH-S 212
- Description
- Intuitive description of topology, including networks and maps, topological equivalence, classification of surfaces, spheres with handles, knot theory, Jordan curve theorem, transformations, and fixed-point theorems.

- Spring 2024CASE NMcourse

# MATH-M 330 Exploring Mathematical Ideas

- Credits
- 3
- Prerequisites
- MATH-M 211 or MATH-S 211
- Notes
- Does not count toward major requirements
- Description
- An experimental course to illustrate important ideas in major areas of mathematics, including number theory, group theory, topology, geometry, and probability. Additional topics may include newly emerging fields, such as chaos theory.

- Spring 2024CASE NMcourse

# MATH-M 343 Introduction to Differential Equations with Applications I

- Credits
- 3
- Prerequisites
- MATH-M 212, MATH-M 213, or MATH-S 212
- Notes
- R: MATH-M 301, MATH-M 303, or MATH-S 303
- Description
- Ordinary differential equations and methods for their solution, including series methods and the Laplace transform. Applications of differential equations. s, stability, and numerical methods. Partial differential equations of mathematical physics, Fourier series.
- Repeatability
- Credit given for only one of MATH-M 343 or MATH-S 343.

- Spring 2024CASE NMcourse

# MATH-M 344 Introduction to Differential Equations with Applications II

- Credits
- 3
- Prerequisites
- One of MATH-M 301, MATH-M 303, or MATH-S 303; and MATH-M 343 or MATH-S 343
- Description
- Ordinary differential equations and methods for their solution, including series methods and the Laplace transform.Â Applications of differential equations.Â Systems, stability, and numerical methods.Â Partial differential equations of mathematical physics, Fourier series.

- Spring 2024CASE NMcourse

# MATH-M 348 Discrete Mathematical Models

- Credits
- 3
- Prerequisites
- MATH-M 118 or equivalent
- Description
- Introduction to the development and use of discrete mathematical models in the social, life, and management sciences; emphasis on models involving Markov chains, game theory, graph theory, and evolutionary systems.

- Spring 2024CASE NMcourse

# MATH-M 353 Discrete Mathematics

- Credits
- 3
- Prerequisites
- MATH-M 212 or consent of instructor
- Description
- Covers fundamental topics chosen from enumerative combinatorics and graph theory. Possible topics include permutations, combinations, pigeonhole principle, inclusion-exclusion, generating functions, recurrence relations, PÃ³lya theory, spanning trees, Eulerian paths, Ramsey theory, graph coloring, flow problems, Hamiltonian paths and cycles, electrical networks, random graphs.

# MATH-M 365 Introduction to Probability and Statistics

- Credits
- 3
- Prerequisites
- MATH-M 212, MATH-M 213, or MATH-S 212
- Description
- Elementary concepts of probability and statistics. Combinatorics, conditional probability, independence, random variables, discrete and continuous distributions, moments. Statistical inference, point estimation, confidence intervals, test of hypotheses. Applications to social, behavioral, and natural sciences.
- Repeatability
- Credit given for only one of MATH-M 360 or MATH-M 365.

- Spring 2024CASE NMcourse

# MATH-M 371 Elementary Computational Methods

- Credits
- 3
- Prerequisites
- MATH-M 212, MATH-M 213, or MATH-S 212
- Description
- Interpolation and approximation of functions, solution of equations, numerical integration and differentiation. Errors, convergence, and stability of the procedures. Students write and use programs applying numerical methods.

- Spring 2024CASE NMcourse

# MATH-M 380 History of Mathematics

- Credits
- 3
- Prerequisites
- MATH-M 212, MATH-M 213, or MATH-S 212
- Description
- Brief study of the development of algebra and trigonometry; practical, demonstrative, and analytic geometry; calculus, famous problems, calculating devices; famous mathematicians and chronological outlines in comparison with outlines in the sciences, history, philosophy, and astronomy.
- Repeatability
- Credit given for only one of HPSC-X 380 or MATH-M 380.

- Spring 2024CASE NMcourse

# MATH-M 384 Logic

- Credits
- 3
- Prerequisites
- CSCI-C 241, MATH-M 303, or MATH-S 303
- Description
- Construction and study of formal mathematical languages. Definitions of, and relationships between, the notions of truth and provability of a formal sentence. Proof systems for logical systems such as propositional logic and syllogistic logic. Soundness, completeness, and decidability.

- Spring 2024CASE NMcourse

# MATH-M 385 Mathematics from Language

- Credits
- 3
- Prerequisites
- MATH-M 118, MATH-S 118, or equivalent
- Description
- Discrete mathematics. Topics in math motivated by linguistics, chosen from formal approaches to syntax and semantics, and from statistical and computational linguistics.

- Spring 2024CASE NMcourse

# MATH-M 391 Introduction to Mathematical Reasoning

- Credits
- 3
- Prerequisites
- (A) MATH-M 212, MATH-M 213, or MATH-S 212; or CSCI-C 241 and MATH-M 211; or CSCI-C 241 and MATH-S 211; and (B) MATH-M 301, MATH-M 303, or MATH-S 303
- Notes
- Recommended for students with insufficient background for 400-level courses and for students in education
- Description
- Elementary logic, techniques of proof, basic set theory, functions, relations, binary operations, number systems, counting. Bridges the gap between elementary and advanced courses.
- Repeatability
- Not open to students who have received credit for MATH-M 403, MATH-M 413, or MATH-M 420.

- Spring 2024CASE NMcourse

# MATH-M 403 Introduction to Modern Algebra I

- Credits
- 3
- Prerequisites
- MATH-M 301, MATH-M 303, or MATH-S 303
- Description
- Study of groups, rings, field extensions, with applications to linear transformations.

# MATH-M 404 Introduction to Modern Algebra II

- Credits
- 3
- Prerequisites
- None
- Notes
- Open only to graduate students
- Description
- Study of groups, rings, field extensions, with applications to linear transformations.

# MATH-M 405 Number Theory

- Credits
- 3
- Prerequisites
- MATH-M 212, MATH-M 213, or MATH-S 212
- Description
- Numbers and their representation, divisibility and factorization, primes and their distribution, number theoretic functions, congruences, primitive roots, diophantine equations, quadratic residues, sums of squares.

# MATH-M 409 Linear Transformations

- Credits
- 3
- Prerequisites
- MATH-M 301, MATH-M 303, or MATH-S 303
- Description
- The study of linear transformations on a finite dimensional vector space over the complex field. Canonical forms, similarity theory; inner products and diagonalization of normal transformations.

# MATH-M 413 Introduction to Analysis I

- Credits
- 3
- Prerequisites
- MATH-M 301, MATH-M 303, or MATH-S 303; and MATH-M 311 or MATH-S 311
- Description
- Modern theory of real number , limits, functions, sequences and series, Riemann-Stieltjes integral, and special topics.

# MATH-M 414 Introduction to Analysis II

- Credits
- 3
- Prerequisites
- MATH-M 413 or MATH-S 413
- Description
- Continuation of MATH-M 413. Functions of several variables, Taylor series, extreme values. Manifolds in Euclidean space, Implicit Function Theorem, Inverse Function Theorem. Divergence Theorem and other classical theorems of vector calculus. Special topics.
- Repeatability
- Credit given for only one of MATH-M 414 or MATH-S 414.

# MATH-M 415 Elementary Complex Variables with Applications

- Credits
- 3
- Prerequisites
- MATH-M 311, MATH-S 311, or consent of instructor
- Description
- Algebra and geometry of complex numbers, elementary functions of a complex variable, power series, integrations, calculus of residues, conformal mapping. Application to physics.
- Repeatability
- Credit given for only one of MATH-M 415 or MATH-S 415.

# MATH-M 420 Metric Space Topology

- Credits
- 3
- Prerequisites
- MATH-M 301, MATH-M 303, or MATH-S 303
- Description
- Topology of Euclidean and metric spaces. Limits and continuity. Topological properties of metric spaces, including separation properties, connectedness, and compactness. Complete metric spaces. Elementary general topology.

# MATH-M 435 Introduction to Differential Geometry

- Credits
- 3
- Prerequisites
- MATH-M 301, MATH-M 303, or MATH-S 303; and MATH-M 311 or MATH-S 311
- Description
- An introduction to the geometry of curves and surfaces. Topics will include arc length, torsion, Frenet formulae, metrics, curvatures, and classical theorems in these areas.

# MATH-M 436 Introduction to Geometries

- Credits
- 3
- Prerequisites
- MATH-M 301, MATH-M 303, or MATH-S 303
- Description
- Non-Euclidean geometry, axiom systems. Plane projective geometry, Desarguesian planes, perspectivities, coordinates in the real projective plane. The group of projective transformations and subgeometries corresponding to subgroups. Models for geometries. Circular transformations.

# MATH-M 441 Introduction to Partial Differential Equations with Applications I

- Credits
- 3
- Prerequisites
- MATH-M 301, MATH-M 303, or MATH-S 303; and MATH-M 311 or MATH-S 311; and MATH-M 343 or MATH-S 343
- Notes
- R: MATH-M 312 or MATH-S 312
- Description
- Derivation and methods of solution of classical partial differential equations of mathematical physics: heat, wave, and Laplace equations. Separation of variables, Fourier series, Sturm-Liouville theory, special functions, Green\'s functions, Fourier transform, first order equations, characteristics and special topics.

# MATH-M 442 Introduction to Partial Differential Equations with Applications II

- Credits
- 3
- Prerequisites
- MATH-M 441
- Description
- Derivation and methods of solution of classical partial differential equations of mathematical physics: heat, wave, and Laplace equations. Separation of variables, Fourier series, Sturm-Liouville theory, special functions, Green\'s functions, Fourier transform, first order equations, characteristics and special topics.

# MATH-M 447 Mathematical Models and Applications I

- Credits
- 3
- Prerequisites
- MATH-M 301, MATH-M 303, or MATH-S 303; and MATH-M 311 or MATH-S 311
- Notes
- P or C: MATH-M 365
- Description
- Formation and study of mathematical models used in the biological, social, and management sciences. Mathematical topics include games, graphs, Markov and Poisson processes, mathematical programming, queues, and equations of growth.

# MATH-M 451 The Mathematics of Finance

- Credits
- 3
- Prerequisites
- MATH-M 311 or MATH-S 311; and MATH-M 365 or MATH-M 463 or MATH-S 463
- Description
- Course covers probability theory, Brownian motion, Ito\'s Lemma, stochastic differential equations, and dynamic hedging. These topics are applied to the Black-Scholes formula, the pricing of financial derivatives, and the term theory of interest rates.

# MATH-M 453 Cryptography

- Credits
- 3
- Prerequisites
- MATH-M 301, MATH-M 303, or MATH-S 303
- Description
- The course covers encryption and decryption in secure codes. Topics include cryptos and their cryptanalysis, Data Encryption Standard, cryptanalysis, Euclidean algorithm, Chinese remainder theorem, RSA crypto, primality testing, factoring algorithms, EI Gamal crypto, discrete log problem, other public key cryptos, signature schemes, hash functions, key distribution and key agreement.

- Spring 2024CASE NMcourse

# MATH-M 463 Introduction to Probability Theory I

- Credits
- 3
- Prerequisites
- MATH-M 301, MATH-M 303, or MATH-S 303; and MATH-M 311 or MATH-S 311
- Description
- The meaning of probability. Random experiments, conditional probability, independence. Random variables, expected values and standard deviations, moment generating functions. Important discrete and continuous distributions. Poisson processes. Multivariate distributions, basic limit laws such as the central limit theorem.
- Repeatability
- Credit given for only one of MATH-M 463 or MATH-S 463.

# MATH-M 464 Introduction to Probability Theory II

- Credits
- 3
- Prerequisites
- MATH-M 463 or MATH-S 463
- Description
- Conditional distributions and expectation, linear and nonlinear regression; simple stochastic processes: Poisson process, process with independent increments, random walk, Markov chain with finite state space; information theory.

# MATH-M 466 Introduction to Mathematical Statistics

- Credits
- 3
- Prerequisites
- MATH-M 463, MATH-S 463, or consent of instructor
- Description
- Rigorous mathematical treatment of problems in sampling and statistical inference. Method of maximum likelihood, efficiency, sufficient statistics, exponential family distributions, likelihood ratio tests, most powerful tests, minimum variance unbiased estimators, shortest confidence intervals, linear models and analysis of variance, nonparametric methods.

# MATH-M 471 Numerical Analysis I

- Credits
- 3
- Prerequisites
- MATH-M 301, MATH-M 303, or MATH-S 303; and MATH-M 311 or MATH-S 311; and MATH-M 343 or MATH-S 343
- Notes
- Knowledge of a computer language such as FORTRAN, C, C++, etc., is essential for success in this course. Students with other programming backgrounds should consult the instructor
- Description
- Interpolation and approximation of functions, numerical integration and differentiation, solution of nonlinear equations, acceleration and extrapolation, solution of systems of linear equations, eigenvalue problems, initial and boundary value problems for ordinary differential equations, and computer programs applying these numerical methods.

# MATH-M 472 Numerical Analysis II

- Credits
- 3
- Prerequisites
- MATH-M 301, MATH-M 303, or MATH-S 303; and MATH-M 311 or MATH-S 311; and MATH-M 343 or MATH-S 343
- Notes
- Knowledge of a computer language such as FORTRAN, C, C++, etc., is essential for success in this course. Students with other programming backgrounds should consult the instructor.
- Description
- Interpolation and approximation of functions, numerical integration and differentiation, solution of nonlinear equations, acceleration and extrapolation, solution of s of linear equations, eigenvalue problems, initial and boundary value problems for ordinary differential equations, and computer programs applying these numerical methods.

# MATH-M 482 Modal Logic

- Credits
- 3
- Prerequisites
- CSCI-C 241, CSCI-H 241, MATH-M 303, MATH-S 303, or MATH-M 384; or consent of instructor
- Description
- Introduction to modal logic with emphasis on systems of modal logic which apply to philosophy and computer science. Includes epistemic logic, temporal logic, deontic logic, and logics for reasoning about space. Covers primarily the semantics of these systems, and secondarily the standard results about them.

- Spring 2024CASE NMcourse

# MATH-M 490 Problem Seminar

- Credits
- 3
- Prerequisites
- MATH-M 301, MATH-M 303 or MATH-S 303; and consent of instructor
- Notes
- R: MATH-M 343 or MATH-S 343, and MATH-M 441; and MATH-M 471
- Description
- Introduction to research techniques for advanced undergraduate and beginning graduate students, based on problems from parts of the regular curriculum, such as linear algebra, topology, probability, and analysis. Emphasis will be on problems of both current and historical interest but usually not in the standard literature.

# MATH-S 211 Honors Calculus I

- Credits
- 4
- Prerequisites
- Hutton Honors College membership or consent of department
- Notes
- R: To be successful, students will demonstrate mastery of two years of high school algebra, one year of high school geometry, and pre-calculus and trigonometry as indicated by an appropriate ALEKS score or completion of MATH-M 027
- Description
- Designed for students of outstanding ability, who are considering further study in mathematics. Limits, continuity, derivatives, definite and indefinite integrals, applications, with emphasis placed on theory.
- Repeatability
- Credit given for only one of MATH-J 113, MATH-M 119, MATH-M 211, MATH-S 211, or MATH-V 119.

- Spring 2024CASE MMcourse

- Spring 2024CASE NMcourse

# MATH-S 212 Honors Calculus II

- Credits
- 4
- Prerequisites
- MATH-S 211 or consent of department
- Description
- Includes material of MATH-M 212 and supplemental topics. Designed for students of outstanding ability in mathematics.
- Repeatability
- Credit given for only one of MATH-M 120, MATH-M 212, or MATH-S 212.

- Spring 2024CASE NMcourse

# MATH-S 303 Honors Course in Linear Algebra

- Credits
- 3
- Prerequisites
- Consent of department
- Description
- Honors version of MATH-M 303. For students with unusual aptitude and motivation.
- Repeatability
- Not open to those who have had MATH-M 301 or MATH-M 303.

- Spring 2024CASE NMcourse

# MATH-S 311 Honors Course in Calculus III

- Credits
- 4
- Prerequisites
- MATH-S 212 or consent of instructor; and MATH M-301, MATH M-303, or MATH S-303
- Description
- Honors version of MATH-M 311, covering geometry of 2, 3, and n-space; functions of several variables; partial differentiation; minimum and maximum problems; and multiple integration. For students with unusual aptitude and motivation.
- Repeatability
- Credit given for only one of MATH-M 311 or MATH-S 311.

- Spring 2024CASE NMcourse

# MATH-S 312 Honors Course in Calculus IV

- Credits
- 3
- Prerequisites
- MATH-S 311 or consent of instructor
- Description
- For students with unusual aptitude and motivation.
- Repeatability
- Credit given for only one of MATH-M 312 or MATH-S 312.

# MATH-S 343 Honors Course in Differential Equations

- Credits
- 3
- Prerequisites
- MATH-S 212 or consent of instructor
- Description
- Introduction, with historical examples, first order ordinary differential equations (ODEs) and applications, second order linear ODEs, linear ODEs of higher order, series solutions to linear ODEs, and numerical methods for ODEs. In addition, some theoretical aspects will be studied in detail such as the Picard existence/uniqueness theorem for initial-value problems, convergence of series solutions, and the matrix exponential exp(tA).

- Spring 2024CASE NMcourse

# MATH-S 344 Honors Course in Differential Equations II

- Credits
- 3
- Prerequisites
- MATH-M 212 or MATH-S 212; and MATH-M 301, MATH-M 303, or MATH-S 303; and MATH-S 343
- Description
- Covers the topics of MATH-M 344, in addition to more theoretical material, which may include topics such as the uniqueness theorem for the inversion of the Laplace transform, introduction to the theory of distributions, derivation of the heat and wave equations, eigenvalues of Sturm-Liouville boundary problems, and oscillation theory applied to special functions. Meets with MATH-M 344, and the additional material will be incorporated in weekly homework sets. Exams will include some of this additional material.
- Repeatability
- Credit given for only one of MATH-M 344 or MATH-S 344.

- Spring 2024CASE NMcourse

# MATH-S 403 Honors Course in Modern Algebra I

- Credits
- 3
- Prerequisites
- MATH-S 303; or consent of instructor
- Notes
- For students of outstanding ability in mathematics
- Description
- Theory of groups, rings, integral domains, fields, and modules.

# MATH-S 404 Honors Course in Modern Algebra II

- Credits
- 3
- Prerequisites
- MATH-S 403; or consent of instructor
- Description
- For students of outstanding ability in mathematics. Theory of groups, rings, integral domains, fields, and modules.

# MATH-S 413 Honors Course in Analysis I

- Credits
- 3
- Prerequisites
- MATH-S 312; or consent of instructor
- Description
- Differentiable transformations defined on Euclidean space, inverse and implicit function theorems. Lebesgue integration over Euclidean space and transformation of integrals. Exterior algebra, measure and integration on manifolds. Stokes\' theorem. Closed and exact forms.

# MATH-S 414 Honors Course in Analysis II

- Credits
- 3
- Prerequisites
- MATH-S 413; or consent of instructor
- Description
- Differentiable transformations defined on Euclidean space, inverse and implicit function theorems. Lebesgue integration over Euclidean space and transformation of integrals. Exterior algebra, measure and integration on manifolds. Stokes\' theorem. Closed and exact forms.
- Repeatability
- Credit given for only one of MATH-S 414 or MATH-M 414.

# MATH-S 415 Honors Elementary Complex Variables

- Credits
- 3
- Prerequisites
- MATH-S 311; or consent of instructor
- Description
- For students with unusual aptitude and motivation. Algebra and geometry of complex numbers, elementary functions of a complex variable, power series, contour integrals, calculus of residues, conformal mapping.
- Repeatability
- Credit given for only one of MATH-M 415 or MATH-S 415.

# MATH-S 463 Honors Course in Probability Theory I

- Credits
- 3
- Prerequisites
- MATH-S 303 and MATH-S 311; or consent of instructor
- Description
- Honors version of MATH-M 463. For students of outstanding ability in mathematics.

**Statistics.**One (1) course:- PSY-K 300 Statistical Techniques
- PSY-K 310 Statistical Techniques
- ANTH-A 306 Anthropological Statistics
- CJUS-K 300 Techniques of Data Analysis
- ECON-E 370 Statistical Analysis for Business and Economics
- ECON-S 370 Statistical Analysis for Business and Economics: Honors
- LAMP-L 316 Junior Seminar: Analytical Problem Solving
- MATH-M 365 Introduction to Probability and Statistics
- POLS-Y 395 Quantitative Political Analysis
- SOC-S 371 Statistics in Sociology
- STAT-K 310 Statistical Techniques
- STAT-S 300 Introduction to Applied Statistical Methods
- STAT-S 301 Applied Statistical Methods for Business
- STAT-S 303 Applied Statistical Methods for the Life Sciences
- EDUC-Y 402 INTRODUCTION TO STATISTICS FOR BEHAVIORAL AND EDUCATIONAL SCIENCES
- SPEA-K 300 STATISTICAL TECHNIQUES
- SPH-Q 381 INTRODUCTION TO BIOSTATISTICS

# PSY-K 300 Statistical Techniques

- Credits
- 3
- Prerequisites
- One of MATH-M 106, MATH-M 118, MATH-M 119, MATH-M 211, MATH-M 212, MATH-S 211, MATH-S 212, MATH-V 118, or, MATH-V 119
- Description
- Introduction to statistics; nature of statistical data; ordering and manipulation of data; measures of central tendency and dispersion; elementary probability. Concepts of statistical inference and decision: estimation and hypothesis testing. Special topics include regression and correlation, analysis of variance, non-parametric methods.
- Repeatability
- Credit given for only one of ANTH-A 306, CJUS-K 300, ECON-E 370, ECON-S 370, MATH-K 300, MATH-K 310, POLS-Y 395, PSY-K 300, PSY-K 310, SOC-S 371, SPEA-K 300, SPH-Q 381, STAT-K 310, STAT-S 300, STAT-S 301, or STAT-S 303.

- Spring 2024CASE NMcourse

# PSY-K 310 Statistical Techniques

- Credits
- 3
- Prerequisites
- One of MATH-M 106, MATH-M 118, MATH-M 119, MATH-M 211, MATH-M 212, MATH-S 211, MATH-S 212, MATH-V 118, or, MATH-V 119
- Description
- Introduction to probability and statistics; elementary probability theory, conditional probability, independence, random variables, discrete and continuous probability distributions, measures of central tendency and dispersion. Covers concepts of statistical inference and decision; estimation and hypothesis testing; Bayesian inference; and statistical decision theory. Special topics include regression and correlation, time series, analysis of variance, non-parametric methods.
- Repeatability
- Credit given for only one of ANTH-A 306, CJUS-K 300, ECON-E 370, ECON-S 370, MATH-K 300, MATH-K 310, POLS-Y 395, PSY-K 300, PSY-K 310, SOC-S 371, SPEA-K 300, SPH-Q 381, STAT-K 310, STAT-S 300, STAT-S 301, or STAT-S 303.

- Spring 2024CASE NMcourse

# ANTH-A 306 Anthropological Statistics

- Credits
- 3
- Prerequisites
- None
- Description
- Fundamentals of univariate and bivariate statistics, construction and interpretation of graphs, and computer-assisted data analysis. Both statistical methodology and theory will be emphasized as well as computer literacy. Students will examine the primary literature in all branches of anthropology to familiarize themselves with the role of statistics in anthropological research.
- Repeatability
- Credit given for only one of ANTH-A 306, CJUS-K 300, ECON-E 370, ECON-S 370, MATH-K 300, MATH-K 310, POLS-Y 395, PSY-K 300, PSY-K 310, SOC-S 371, SPEA-K 300, SPH-Q 381, STAT-K 310, STAT-S 300, STAT-S 301, or STAT-S 303.

- Spring 2024CASE NMcourse

# CJUS-K 300 Techniques of Data Analysis

- Credits
- 3
- Prerequisites
- None
- Notes
- R: To be successful in this course, students should have an understanding of basic algebra.
- Description
- CJUS-K 300 covers the properties of single variables, the measurement of association between pairs of variables, and statistical inference. Additional topics, such as the analyses of qualitative and aggregated data, address specific criminal justice concerns.
- Repeatability

- Spring 2024CASE NMcourse

# ECON-E 370 Statistical Analysis for Business and Economics

- Credits
- 3
- Prerequisites
- MATH-M 118, MATH-S 118, or MATH-V 118
- Notes
- R: ECON-E 252 or ECON-B 252 and MATH-M 119
- Description
- Lectures emphasize the use of basic probability concepts and statistical theory in the estimation and testing of single parameter and multivariate relationships. In computer labs, using Microsoft Excel, each student calculates descriptive statistics, probabilities, and least squares regression coefficients in situations based on current business and economic events.
- Repeatability

- Spring 2024CASE NMcourse

# ECON-S 370 Statistical Analysis for Business and Economics: Honors

- Credits
- 3
- Prerequisites
- MATH-M 118, MATH-S 118, or MATH-V 118; and Hutton Honors student
- Notes
- R: MATH-M 119 and ECON-E 252 or ECON-B 252
- Description
- Honors course. Designed for students of superior ability. Covers same core material as ECON-E 370.
- Repeatability

- Spring 2024CASE NMcourse

# LAMP-L 316 Junior Seminar: Analytical Problem Solving

- Credits
- 3
- Prerequisites
- Admission to the LAMP honors certificate program
- Description
- A discussion course emphasizing the use of quantitative methods and analytical skills in exploring and solving business-related problems. Topics vary with the instructor and year and include mathematical modeling and operations research, organizational control, and corporate finance.

- Spring 2024CASE NMcourse

# MATH-M 365 Introduction to Probability and Statistics

- Credits
- 3
- Prerequisites
- MATH-M 212, MATH-M 213, or MATH-S 212
- Description
- Elementary concepts of probability and statistics. Combinatorics, conditional probability, independence, random variables, discrete and continuous distributions, moments. Statistical inference, point estimation, confidence intervals, test of hypotheses. Applications to social, behavioral, and natural sciences.
- Repeatability
- Credit given for only one of MATH-M 360 or MATH-M 365.

- Spring 2024CASE NMcourse

# POLS-Y 395 Quantitative Political Analysis

- Credits
- 3
- Prerequisites
- None
- Description
- Introduction to methods and statistics used in political inquiry, including measures of central tendency and dispersion, probability, sampling, statistical inference and hypothesis testing, measures of association, analysis of variance, and regression.
- Repeatability

- Spring 2024CASE NMcourse

# SOC-S 371 Statistics in Sociology

- Credits
- 3
- Prerequisites
- None
- Description
- Introduces the logic of statistical inference. Students will learn how to use sample data to reach conclusions about a population of interest by calculating confidence intervals and significance tests. Estimating the effects of multiple independent variables using cross-tabulations and/or regression.
- Repeatability

- Spring 2024CASE NMcourse

# STAT-K 310 Statistical Techniques

- Credits
- 3
- Prerequisites
- MATH-M 119 or equivalent
- Description
- Introduction to probability and statistics. Elementary probability theory, conditional probability, independence, random variables, discrete and continuous probability distributions, measures of central tendency and dispersion. Concepts of statistical inference and decision: estimation, hypothesis testing, Bayesian inference, statistical decision theory. Special topics discussed may include regression and correlation, time series, analysis of variance, nonparametric methods.
- Repeatability

- Spring 2024CASE NMcourse

# STAT-S 300 Introduction to Applied Statistical Methods

- Credits
- 4
- Prerequisites
- None
- Notes
- R: Mastery of high school algebra; or MATH-M 014. Lecture and laboratory
- Description
- Introduction to methods for analyzing quantitative data. Graphical and numerical descriptions of data, probability models of data, inference about populations from random samples. Regression and analysis of variance.
- Repeatability

- Spring 2024CASE NMcourse

# STAT-S 301 Applied Statistical Methods for Business

- Credits
- 3
- Prerequisites
- Math-M 118 or equivalent
- Description
- Introduction to methods for analyzing data arising in business, designed to prepare business students for the Kelley School\'s Integrative Core. Graphical and numerical descriptions of data, probability models, fundamental principles of estimation and hypothesis testing, applications to linear regression and quality control. Microsoft Excel used to perform analyses.
- Repeatability

- Spring 2024CASE NMcourse

# STAT-S 303 Applied Statistical Methods for the Life Sciences

- Credits
- 3
- Prerequisites
- None
- Notes
- R: Mastery of high school algebra; or MATH-M 014
- Description
- Introduction to methods for analyzing data arising in the life sciences, designed for biology, human biology, and pre-medical students. Graphical and numerical descriptions of data, probability models, fundamental principles of estimation and hypothesis testing, inferences about means, correlation, linear regression.
- Repeatability

- Spring 2024CASE NMcourse

# EDUC-Y 402 INTRODUCTION TO STATISTICS FOR BEHAVIORAL AND EDUCATIONAL SCIENCES

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# SPEA-K 300 STATISTICAL TECHNIQUES

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# SPH-Q 381 INTRODUCTION TO BIOSTATISTICS

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

**Data Analysis Tools.**Three (3) credit hours:- BUS-K 201 THE COMPUTER IN BUSINESS
- BUS-K 204 THE COMPUTER IN BUSINESS: HONORS
- CSCI-A 110 INTRODUCTION TO COMPUTERS AND COMPUTING
- PSY-P 457 Topics in Psychology (approved topic: "Intro to MATLAB Coding for PBS")

# BUS-K 201 THE COMPUTER IN BUSINESS

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# BUS-K 204 THE COMPUTER IN BUSINESS: HONORS

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# CSCI-A 110 INTRODUCTION TO COMPUTERS AND COMPUTING

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# PSY-P 457 Topics in Psychology

- Credits
- 3
- Prerequisites
- None
- Notes
- Prerequisites vary according to the topics offered and are specified in the Schedule of Classes each term
- Description
- Studies in special topics not ordinarily covered in other departmental courses. Topics vary with instructor and semester.
- Repeatability
- May be repeated with a different topic for a maximum of 12 credit hours.

**Data Modeling.**One (1) course:- PSY-P 404 Computer and Statistical Models in Psychology
- PSY-P 357 Topics in Psychology (approved topics: "Introduction to Data Analysis for PBS"; "Thinking Like Machines")

# PSY-P 404 Computer and Statistical Models in Psychology

- Credits
- 3
- Prerequisites
- PSY-K 300 or equivalent
- Description
- This laboratory course provides an introduction to elementary mathematical, statistical, and computer models in psychology. Students learn to use computer spreadsheet packages to program formal models and to apply the models to analyze data obtained in psychological experiments.

# PSY-P 357 Topics in Psychology

- Credits
- 3
- Prerequisites
- None
- Notes
- Prerequisites vary according to the topics offered and are specified in the Schedule of Classes each term
- Description
- Introduction to fundamental issues, integrative approaches, and real-world applications of psychology. Examples include investigating a topic from a developmental, cognitive, individual difference, and neuroscience perspective; or addiction from a clinical, developmental, social, and neuroscience point of view.
- Repeatability
- May be repeated with a different topic for a maximum of 6 credit hours.

**Economics.****Economics I.**One (1) of the following- ECON-B 251 Fundamentals of Economics for Business I
- ECON-E 251 Fundamentals of Economics I

# ECON-B 251 Fundamentals of Economics for Business I

- Credits
- 3
- Prerequisites
- None
- Description
- First course in a two-course sequence that introduces business students to essential economic concepts. Examines the economic notions of cost and gains from trade, determinants of economic growth, consumer and firm behavior in competitive and non-competitive environments, the effects of taxation, externalities, moral hazard and adverse selection, and basic game theory.
- Repeatability
- Credit given for only one of ECON-B 251 or ECON-E 251.

- Spring 2024CASE SHcourse

# ECON-E 251 Fundamentals of Economics I

- Credits
- 3
- Prerequisites
- None
- Description
- First course in a two-course sequence that lays the foundations for a solid understanding of economics. Examines the economic notions of cost and gains from trade, determinants of economic growth, consumer and firm behavior in competitive and non-competitive environments, the effects of taxation, externalities, moral hazard and adverse selection, and public policy applications.
- Repeatability
- Credit given for only one of ECON-E 251 or ECON-B 251.

- Spring 2024CASE SHcourse

**Economics II.**One (1) of the following- ECON-B 252 Fundamentals of Economics for Business II
- ECON-E 252 Fundamentals of Economics II

# ECON-B 252 Fundamentals of Economics for Business II

- Credits
- 3
- Prerequisites
- ECON-B 251
- Description
- Continuation of Fundamental of Economics for Business I. After a review of the major types of markets, explores macroeconomic concepts, beginning with measurement and the National Income Accounts, and then moving to cycle fluctuations and performance of stock markets. Concludes with microeconomic and macroeconomic perspectives in two areas: labor markets and globalization will applications in business contexts.
- Repeatability
- Credit given for only one of ECON-B 252 or ECON-E 252.

- Spring 2024CASE SHcourse

# ECON-E 252 Fundamentals of Economics II

- Credits
- 3
- Prerequisites
- ECON-E 251 or ECON-B 251
- Description
- Continuation of Fundamental of Economics I. After a review of the major types of markets, explores macroeconomic concepts, beginning with measurement and the National Income Accounts, and then moving to cycle fluctuations and performance of stock markets. Concludes with microeconomic and macroeconomic perspectives in two areas: labor markets and globalization.
- Repeatability
- Credit given for only one of ECON-E 252 or ECON-B 252.

- Spring 2024CASE SHcourse

**Organizational and Business Psychology Core.****Business Environment.**One (1) course:- PSY-P 452 Psychology in the Business Environment

# PSY-P 452 Psychology in the Business Environment

- Credits
- 3
- Prerequisites
- PSY-P 101 or PSY-P 155; and one additional 300 or 400-level course in psychology
- Notes
- R: PSY-P 304 or PSY-P 320
- Description
- The application of psychological methods and theory to business settings including marketing, human resources, consulting, and human factors.

**Organizational and Business Psychology Electives.**Two (2) courses:- PSY-P 323 Industrial/Organizational Psychology
- PSY-P 350 Human Factors/Ergonomics
- PSY-P 366 Consumer Psychology

# PSY-P 323 Industrial/Organizational Psychology

- Credits
- 3
- Prerequisites
- PSY-P 101 and PSY-P 102; or PSY-P 155
- Description
- The application of psychological data and theory to the behavior of individuals within organizational settings. Special emphasis on critical assessment of applied techniques.

- Spring 2024CASE SHcourse

# PSY-P 350 Human Factors/Ergonomics

- Credits
- 3
- Prerequisites
- PSY-P 101 or PSY-P 155
- Description
- Theories and data of experimental psychology applied to the problems of the interaction of people and technology.

- Spring 2024CASE NMcourse

# PSY-P 366 Consumer Psychology

- Credits
- 3
- Prerequisites
- PSY-P 304 or PSY-P 320
- Description
- Examines the emotional, cognitive, and behavioral responses that precede, determine, or follow the purchase and consumption of goods and services. Provides a broad understanding of buying behavior by looking at fundamental issues within consumer behavior from a social psychological framework.

**Upper-Level Psychology.**Two (2) courses:- Additional course from the Organizational and Business Psychology Electives list
- PSY-P 319 Psychology of Personality
- PSY-P 336 Psychological Tests and Individual Differences
- PSY-P 351 Psychobiology, Self, and Society
- PSY-P 357 Topics in Psychology (approved topics: "How Technology Changes Your Brain"; "Introduction to Data Analysis for PBS"; "Psychology and Law"; "Thinking Like Machines")
- PSY-P 386 Social Neuroscience
- PSY-P 404 Computer and Statistical Models in Psychology
- PSY-P 421 Laboratory in Social Psychology
- PSY-P 435 Laboratory in Human Learning and Cognition
- PSY-P 446 Group Processes
- PSY-P 447 Social Influence Processes
- PSY-P 448 Social Judgment and Person Perception
- PSY-P 449 Social Psychology of Public Opinion
- PSY-P 453 Decision-making and the Brain
- PSY-P 455 The Role of Psychology in Legal Doctrine
- PSY-P 457 Topics in Psychology (approved topics: "Aggression in Close Relationships"; "Gender, Work, and Leadership"; "Introduction to MATLAB Coding for Psychological & Brain Sciences"; "Moral Machines"; "Neural Language of Music Perception"; "Neuroscience of Human Movement"; "Psychology & Neuroscience of Sleep"; "Science of Well Being"; "Science of Choice"; "Situations Matter"; "The Connected Brain"; "The Social Brain"; "Truth about Lies: Psychology of Dishonesty")
- PSY-P 460 The Psychology of Women
- PSY-P 461 Human Memory
- PSY-P 466 Molecular and Cellular Neurobiology
- PSY-P 478 Stereotyping, Prejudice, and Discrimination
- PSY-P 484 The Science of Moral Judgment

# PSY-P 319 Psychology of Personality

- Credits
- 3
- Prerequisites
- PSY-P 101 and PSY-P 102; or PSY-P 155
- Description
- Methods and results of scientific study of personality. Basic concepts of personality traits and their measurements, developmental influences, and problems of integration.

- Spring 2024CASE SHcourse

# PSY-P 336 Psychological Tests and Individual Differences

- Credits
- 3
- Prerequisites
- PSY-P 155; or PSY-P 101 and PSY-P 102; and PSY-K 300 or equivalent
- Description
- Principles of psychological testing. Representative tests and their uses for evaluation and prediction. Emphasis on concepts of reliability, validity, standardization, norms, and item analysis.

- Spring 2024CASE NMcourse

# PSY-P 351 Psychobiology, Self, and Society

- Credits
- 3
- Prerequisites
- PSY-P 326 or PSY-P 346
- Description
- The physiological and neural bases of selected behavioral processes (for example, hunger, thirst, sleep, addiction, aggression, sex) will be examined as a means of understanding individual behavior and then in relation to larger, related issues of ethics, law, and societal organization.

- Spring 2024CASE NMcourse

# PSY-P 357 Topics in Psychology

- Credits
- 3
- Prerequisites
- None
- Notes
- Prerequisites vary according to the topics offered and are specified in the Schedule of Classes each term
- Description
- Introduction to fundamental issues, integrative approaches, and real-world applications of psychology. Examples include investigating a topic from a developmental, cognitive, individual difference, and neuroscience perspective; or addiction from a clinical, developmental, social, and neuroscience point of view.
- Repeatability
- May be repeated with a different topic for a maximum of 6 credit hours.

# PSY-P 386 Social Neuroscience

- Credits
- 3
- Prerequisites
- PSY-P 326 or PSY-P 346
- Description
- Didactic lectures by faculty, laboratory demonstrations, and seminars/class discussions led by students examine non-verbal communication and mind-brain-body relationships. Topics include reading faces and bodies, microexpressions, emotion and emotional contagion. Assessment is based on presentations, student-led discussions, participation in class, and written critiques on selected readings.

# PSY-P 404 Computer and Statistical Models in Psychology

- Credits
- 3
- Prerequisites
- PSY-K 300 or equivalent
- Description
- This laboratory course provides an introduction to elementary mathematical, statistical, and computer models in psychology. Students learn to use computer spreadsheet packages to program formal models and to apply the models to analyze data obtained in psychological experiments.

# PSY-P 421 Laboratory in Social Psychology

- Credits
- 3
- Prerequisites
- PSY-P 211; and PSY-P 304 or PSY-P 320; and PSY-K 300 or equivalent
- Description
- Research methodology in the study of social behavior.

# PSY-P 435 Laboratory in Human Learning and Cognition

- Credits
- 3
- Prerequisites
- PSY-P 211; and PSY-P 325 or PSY-P 335; and PSY-K 300 or equivalent
- Description
- Experimental study of human learning and cognitive processes.

# PSY-P 446 Group Processes

- Credits
- 3
- Prerequisites
- PSY-P 304 or PSY-P 320
- Description
- Social psychological theory and research on the behavior of individuals in groups covering major topics such as group formation and cohesiveness, group performance and decision making, social influence processes in groups, and intragroup and intergroup conflict.

# PSY-P 447 Social Influence Processes

- Credits
- 3
- Prerequisites
- PSY-P 304 or PSY-P 320
- Description
- An advanced review of the theoretical and empirical literature in experimental social psychology concerning social influence processes and effects. Topics to be covered include attitude formation and change, persuasion, conformity, compliance, and behavior change.

# PSY-P 448 Social Judgment and Person Perception

- Credits
- 3
- Prerequisites
- PSY-P 304 or PSY-P 320
- Description
- Judgments, decisions, and perceptions of a social nature include self-knowledge, judgments of causality, biases and errors of social judgment such as stereotyping, and the relation of thinking and feeling. Principles will be considered in the context of applied areas such as law and psychotherapy.

# PSY-P 449 Social Psychology of Public Opinion

- Credits
- 3
- Prerequisites
- PSY-P 304 or PSY-P 320
- Description
- Describes the methods of public opinion research, empowering students to become informed consumers of poll results. Covers basic social psychological processes that shape opinions, such as people's self-interest, group memberships, personal experiences, and conformity. Homework involves analysis and interpretation of data from recent surveys on social and political attitudes.

# PSY-P 453 Decision-making and the Brain

- Credits
- 3
- Prerequisites
- PSY-P 326, PSY-P 335, or PSY-P 346
- Description
- An exploration of how individuals make decisions and what different parts of the brain contribute to decision-making. Focuses on the cognitive psychology of decision-making and on exciting recent advances in the cognitive neuroscience of decision-making, including the new field of neuroeconomics.

# PSY-P 455 The Role of Psychology in Legal Doctrine

- Credits
- 3
- Prerequisites
- PSY-P 304 and PSY-P 320
- Description
- What does psychology theory and research have to offer the law? Explores several important ways in which psychology theory and research can be helpful in making legal decisions and in formulating legal doctrine and policy.

- Spring 2024CASE SHcourse

# PSY-P 457 Topics in Psychology

- Credits
- 3
- Prerequisites
- None
- Notes
- Description
- Studies in special topics not ordinarily covered in other departmental courses. Topics vary with instructor and semester.
- Repeatability
- May be repeated with a different topic for a maximum of 12 credit hours.

# PSY-P 460 The Psychology of Women

- Credits
- 3
- Prerequisites
- PSY-P 101 and PSY-P 102; or PSY-P 155; and 3 additional credit hours in psychology
- Description
- Focus is on a wide range of psychological issues of importance to women (e.g., gender stereotypes, women and work, the victimization of women, etc.).

- Spring 2024CASE SHcourse

# PSY-P 461 Human Memory

- Credits
- 3
- Prerequisites
- PSY-K 300 or equivalent; and PSY-P 335
- Description
- Research, theory, and data on human memory and information-processing models of memory.
- Repeatability
- Credit given for only one of PSY-P 340 or PSY-P 461.

- Spring 2024CASE NMcourse

# PSY-P 466 Molecular and Cellular Neurobiology

- Credits
- 3
- Prerequisites
- PSY-P 326 or PSY-P 346
- Description
- Introduction to the cellular and molecular processes that give the nervous system its unique character. Covers the cell biology of neurons and glia and mechanisms of synaptic plasticity. Examines the genetic and molecular approaches to the biological basis for higher brain functions such as learning and memory.

- Spring 2024CASE NMcourse

# PSY-P 478 Stereotyping, Prejudice, and Discrimination

- Credits
- 3
- Prerequisites
- PSY-P 211; and PSY-P 304 or PSY-P 320; and PSY-K 300 or equivalent
- Description
- This advanced seminar consists primarily of discussion of recently published journal articles on stereotyping and prejudice. Discussion topics include why people stereotype; how stereotypes and prejudice affect both targets and perceivers; how people might overcome the pernicious effects of stereotypes, prejudice, and discrimination.

# PSY-P 484 The Science of Moral Judgment

- Credits
- 3
- Prerequisites
- At least one course at the 300-level or higher in Psychological and Brain Sciences or Cognitive Science
- Description
- Surveys scientific research into the psychology of moral judgment. Contributing disciplines include social, cognitive, developmental, and evolutionary psychology, anthropology, ethology, brain science, and artificial intelligence. Investigates the psychological mechanisms of moral judgment. Not a course about normative religious or philosophical ethics.

**Applied Learning.**Three (3) credit hours:- ASCS-X 373 Internship: Theory into Practice (approved internships only; see academic advisor)
- PSY-P 424 Laboratory in Sensation and Perception
- PSY-P 433 Laboratory in Neuroimaging Methods
- PSY-P 457 Topics in Psychology (approved topics: "Network Science in the Cognitive and Psychological Sciences"; "Research and Application of Sleep and Circadian Science")
- PSY-P 472 Laboratory in Brain Electrical Activity
- PSY-P 499 Honors Thesis Research
- PSY-X 397 Supervised Research I
- PSY-X 398 Supervised Research II
- PSY-X 476 Practicum in Psychology (approved topic: "Applications in Business")
- PSY-X 497 Supervised Research III
- PSY-X 498 Capstone Supervised Research
- The following courses may be used by exception to fulfill this requirement if other courses are used to satisfy the Upper-Level Psychology requirement:
- PSY-P 421 Laboratory in Social Psychology
- PSY-P 435 Laboratory in Human Learning and Cognition

# ASCS-X 373 Internship: Theory into Practice

- Credits
- 1–3 credit hours
- Prerequisites
- Approval of the College of Arts and Sciences Walter Center for Career Achievement
- Description
- Provides opportunity to receive academic credit for a part-time or full-time internship experience that applies classroom concepts to the world of work. Requires a learning contract, employer evaluations, weekly journal, reflective paper, and evaluation of internship site. Offered spring, summer, and fall.
- Repeatability
- May be repeated up to a maximum of 6 credit hours in ASCS-Q 398, ASCS-X 373, and ASCS-X 375. S/F grading.
- Grading
- S/F grading.

# PSY-P 424 Laboratory in Sensation and Perception

- Credits
- 3
- Prerequisites
- PSY-P 211; and PSY-P 329; and PSY-K 300 or equivalent
- Description
- The experimental investigation of current and classical problems in sensory psychology and perception.

# PSY-P 433 Laboratory in Neuroimaging Methods

- Credits
- 4
- Prerequisites
- PSY-P 326 or PSY-P 346; and PSY-K 300 or equivalent
- Description
- Laboratory experience in all facets of a neuroimaging experiment, including experimental design, data acquisition, data analysis, data interpretation, and data presentation. Introductory magnetic resonance (MR) physics and the physiology of blood oxygen-level dependent (BOLD) changes are included.

# PSY-P 457 Topics in Psychology

- Credits
- 3
- Prerequisites
- None
- Notes
- Description
- Studies in special topics not ordinarily covered in other departmental courses. Topics vary with instructor and semester.
- Repeatability
- May be repeated with a different topic for a maximum of 12 credit hours.

# PSY-P 472 Laboratory in Brain Electrical Activity

- Credits
- 3
- Prerequisites
- PSY-K 300 or equivalent; and PSY-P 326 or PSY-P 346
- Description
- Surveys the principles/practice of human brain electrical activity recording techniques used in research and in the clinic, including electroencephalography (EEG) and event related potentials (ERPs). Primarily hands-on lab learning, small group recording practice and subsequent data analysis, supplemented by lectures, seminars, discussions and demonstrations.ï»¿

# PSY-P 499 Honors Thesis Research

- Credits
- 1–12 credit hours
- Prerequisites
- Consent of departmental honors committee
- Notes
- May be substituted for advanced laboratory requirement or, given the permission of the departmental honors committee, for certain other requirements in the program for majors
- Description
- None
- Repeatability
- May be repeated for a maximum of 12 credit hours.

# PSY-X 397 Supervised Research I

- Credits
- 1–6 credit hours
- Prerequisites
- Consent of department
- Notes
- An approved research agreement must be in place. Does not count toward capstone or neuroscience lab credit
- Description
- First in a series of supervised research courses that require active participation in research in a single lab.
- Repeatability
- May be repeated for a maximum of 6 credit hours.

# PSY-X 398 Supervised Research II

- Credits
- 1–6 credit hours
- Prerequisites
- Consent of department
- Notes
- An approved research agreement must be in place.
- Description
- Second in a series of supervised research courses that require active participation in research in a single lab.
- Repeatability
- May be repeated for a maximum of 6 credit hours.

# PSY-X 476 Practicum in Psychology

- Credits
- 3
- Prerequisites
- Consent of instructor
- Description
- Students observe and assist staff at an off-campus psychology-related work site and participate in group discussions about their experiences. Intended as an opportunity to integrate science and practice, students complete readings and written assignments to acquire skills and knowledge. Grade is based on written assignments and site supervisor evaluations.
- Repeatability
- May be repeated for a maximum of 6 credit hours.

# PSY-X 497 Supervised Research III

- Credits
- 1–6 credit hours
- Prerequisites
- Consent of department
- Notes
- An approved research agreement must be in place
- Description
- Third in a series of supervised research courses that require active participation in research in a single lab. Does not count toward capstone or neuroscience lab credit. An independent experiment of modest magnitude.
- Repeatability
- May be repeated for a maximum of 6 credit hours in PSY-P 493 and PSY-X 497.

# PSY-X 498 Capstone Supervised Research

- Credits
- 2–3 credit hours
- Prerequisites
- Consent of department
- Notes
- R: PSY-X 397, PSY-X 398, or PSY-X 497. An approved research agreement must be in place. Counts toward capstone credit or neuroscience lab credit in approved labs
- Description
- The capstone experience in a series of supervised research courses that require active participation in research in a single lab. Course requires a research plan and progress reports.
- Repeatability
- May be repeated for a maximum of 6 credit hours in PSY-P 494 and PSY-X 498.

# PSY-P 421 Laboratory in Social Psychology

- Credits
- 3
- Prerequisites
- PSY-P 211; and PSY-P 304 or PSY-P 320; and PSY-K 300 or equivalent
- Description
- Research methodology in the study of social behavior.

# PSY-P 435 Laboratory in Human Learning and Cognition

- Credits
- 3
- Prerequisites
- PSY-P 211; and PSY-P 325 or PSY-P 335; and PSY-K 300 or equivalent
- Description
- Experimental study of human learning and cognitive processes.

**Additional Requirements*.****Breadth Requirement.**Two (2) courses:- COGS-Q 101 Introduction to Cognitive Science
- COGS-Q 260 Programming for the Cognitive and Information Sciences
- COGS-Q 350 Mathematics and Logic for the Cognitive and Information Sciences
- COGS-Q 351 Introduction to Artificial Intelligence and Computer Simulation
- COGS-Q 370 Experiments and Models in Cognition
- MSCH-A 301 Media and Consumer Behavior
- MSCH-A 315 Advertising and Consumer Culture
- MSCH-C 226 Visual Communication
- MSCH-J 423 Public Opinion
- MSCH-M 326 Network Design
- MSCH-S 315 Media Processes and Effects
- MSCH-S 348 Audience Analysis
- SOAD-D 375 Interior Design Technical Studio
- SOAD-M 350 Omnichannel Innovation
- SOC-S 210 Economic Sociology
- SOC-S 302 Organizations in Society
- SOC-S 315 Work in the New Economy
- SOC-S 338 Sociology of Gender
- BUS-C 104 BUSINESS PRESENTATIONS
- BUS-C 204 BUSINESS COMMUNICATION
- BUS-D 312 BUILDING MANAGERIAL CROSS CULTURAL COMPETENCIES
- BUS-F 419 BEHAVIORAL FINANCE
- One of the following:
- BUS-G 300 INTRODUCTION TO MANAGERIAL ECONOMICS AND STRATEGY
- BUS-G 304 MANAGERIAL ECONOMICS

- BUS-G 303 GAME THEORY FOR BUSINESS STRATEGY
- BUS-J 306 STRATEGIC MANAGEMENT AND LEADERSHIP
- BUS-K 303 TECHNOLOGY AND BUSINESS ANALYSIS
- BUS-K 353 BUSINESS ANALYTICS & MODELING
- BUS-L 312 THE ETHICAL RESPONSIBILITIES OF BUSINESS
- BUS-L 333 NEGOTIATION, RESOLVING CONFLICT AND LEADING CHANGE
- BUS-M 300 INTRODUCTION TO MARKETING
- BUS-M 303 MARKETING RESEARCH
- BUS-M 311 INTRODUCTION TO MARKETING COMMUNICATION
- BUS-M 312 RETAIL MARKETING MANAGEMENT
- BUS-M 330 CONSULTATIVE SELLING
- BUS-M 344 CREATIVITY AND COMMUNICATION
- BUS-M 346 ANALYSIS OF MARKETING DATA
- BUS-M 360 SALES FOR SOCIAL IMPACT
- BUS-M 370 I-CORE - MARKETING COMPONENT
- BUS-M 405 CONSUMER BEHAVIOR
- BUS-M 431 BRAND MANAGEMENT
- BUS-M 432 DIGITAL MARKETING
- BUS-S 326 WEB AND SOCIAL MEDIA ANALYTICS
- BUS-W 430 ORGANIZATIONS AND ORGANIZATIONAL DESIGN
- BUS-X 333 Managing Business Functions
- BUS-Z 302 MANAGING AND BEHAVIOR IN ORGANIZATIONS
- BUS-Z 340 INTRODUCTION TO HUMAN RESOURCES
- BUS-Z 370 I-CORE - LEADERSHIP COMPONENT
- BUS-Z 404 EFFECTIVE NEGOTIATIONS
- BUS-Z 447 LEADERSHIP, TEAMWORK AND DIVERSITY
- INFO-I 101 INTRODUCTION TO INFORMATICS
- INFO-I 123 DATA FLUENCY
- INFO-I 202 SOCIAL INFORMATICS
- INFO-I 222 THE INFORMATION SOCIETY
- INFO-I 300 HUMAN-COMPUTER INTERACTION DESIGN AND PROGRAMMING
- INFO-I 303 ORGANIZATIONAL INFORMATICS
- INFO-I 356 GLOBALIZATION, WHERE WE FIT IN
- INFO-I 370 METHODS FOR HCC
- INFO-I 422 DATA VISUALIZATION
- INFO-I 423 BIG DATA APPLS & ANALYTICS
- INFO-I 436 TECHNOLOGY INNOVATION
- INFO-I 437 DESIGN STRATEGY
- INFO-I 440 HUMAN ROBOT INTERACTION
- INFO-I 441 INTERACTION DESIGN PRACTICE
- ILS-Z 341 INFORMATION VISUALIZATION
- SPEA-A 354 ARTS MARKETING FUNDAMENTALS
- SPEA-V 236 MANAGING AND LEADING ORGANIZATIONS
- SPEA-V 241 MANAGEMENT FOUNDATIONS AND APPROACHES
- SPEA-V 362 NONPROFIT MANAGEMENT AND LEADERSHIP
- SPEA-V 373 HUMAN RESOURCES MANAGEMENT IN THE PUBLIC SECTOR
- SPEA-V 379 PERFORMANCE MEASUREMENT AND PROGRAM EVALUATION
- SPEA-V 389 RISK AND HAZARD MITIGATION
- SPEA-V 432 LABOR RELATIONS IN THE PUBLIC SECTOR
- SPEA-V 435 NEGOTIATION AND ALTERNATIVE DISPUTE RESOLUTION
- SPEA-V 436 COMMUNICATION FOR GOVERNMENT AND NONPROFIT ORGANIZATIONS
- SPEA-V 443 MANAGING WORK FORCE DIVERSITY
- SPEA-V 473 MANAGEMENT, LEADERSHIP, AND POLICY
- SPEA-V 476 COMPENSATION STRATEGY AND SYSTEMS
- SPEA-V 477 STRATEGIC HUMAN RESOURCE MANAGEMENT
- SPEA-V 478 EMPLOYMENT LAW FOR HUMAN RESOURCES MANAGEMENT
- SPEA-V 479 EMPLOYEE RECRUITMENT AND SELECTION IN THE PUBLIC SECTOR

# COGS-Q 101 Introduction to Cognitive Science

- Credits
- 3
- Prerequisites
- None
- Description
- Introduction to the study of the human mind and intelligent systems using an integrative approach. Explores the nature of intelligence through simulations, robots, human experiments and philosophical inquiry. Topics include perception, consciousness, mental representations, and models of cognition and brain anatomy as each relates to cognition. Provides an overview for those students considering a major in Cognitive Science or a related field.

- Spring 2024CASE NMcourse

# COGS-Q 260 Programming for the Cognitive and Information Sciences

- Credits
- 3
- Prerequisites
- None
- Notes
- R: Mastery of two years of high school algebra or the equivalent
- Description
- Students will learn to write simple computer programs. Programming assignments will focus on the implementation of an important class of models from cognitive science, such as neural networks or production systems.

# COGS-Q 350 Mathematics and Logic for the Cognitive and Information Sciences

- Credits
- 4
- Prerequisites
- None
- Notes
- R: Mastery of two years of high school algebra or the equivalent
- Description
- An introduction to the suite of mathematical and logical tools used in the cognitive and information sciences, including finite mathematics, automata and computability theory, elementary probability, and statistics, together with short introductions to formal semantics and dynamical systems.
- Repeatability
- Credit given for only one of COGS-Q 350 or COGS-Q 250.

- Spring 2024CASE NMcourse

# COGS-Q 351 Introduction to Artificial Intelligence and Computer Simulation

- Credits
- 3
- Prerequisites
- CSCI-C 211, CSCI-H 211, or consent of instructor
- Description
- A survey of techniques for machine intelligence and their relation to human intelligence. Topics include modeling techniques, neural networks and parallel processing systems, problem-solving methods, knowledge representation, expert systems, vision, heuristics, production systems, speech perception, and natural language understanding. Students who have completed both COGS-C 463 and COGS-C 464 are exempted from taking this course.
- Repeatability
- Credit given for only one of COGS-Q 351 or CSCI-B 351.

- Spring 2024CASE NMcourse

# COGS-Q 370 Experiments and Models in Cognition

- Credits
- 4
- Prerequisites
- COGS-Q 260, CSCI-C 200, CSCI-C 211, of CSCI-H 211 with a grade of B or higher
- Notes
- R: Mastery of two years of high school algebra or the equivalent; PSY-K 300 or equivalent familiarity with statistics
- Description
- This course develops tools for studying mind and intelligence, including experimental techniques, and mathematical and computational models of human behavior. Topics include neural structures for cognition, attention, perception, memory, problem solving, judgment, decision making, and consciousness. Students will design and analyze laboratory experiments and apply formal models to the results.
- Repeatability
- Credit given for only one of COGS-Q 270 or COGS-Q 370.

- Spring 2024CASE NMcourse

# MSCH-A 301 Media and Consumer Behavior

- Credits
- 3
- Prerequisites
- A grade of C- or better in MSCH-C 209
- Description
- Introduces ways media producers and advertisers conceptualize and measure audiences. Examines strategies and criteria used to evaluate media as advertising delivery vehicles. Covers skills needed to utilize market research and match media with products, services, and behavioral campaign goals.

# MSCH-A 315 Advertising and Consumer Culture

- Credits
- 3
- Prerequisites
- None
- Description
- Critical examination of advertising's role in modern societies. Focuses on marketing and consumption as central activities in shaping personal identity and social relations.

- Spring 2024CASE SHcourse

# MSCH-C 226 Visual Communication

- Credits
- 3
- Prerequisites
- None
- Description
- Theories of visual communication including human perception, psychology of color, and principles of design. Application of those theories to photography, video, and computer graphic design in news communication.
- Repeatability
- Credit given for only one of JOUR-J 210 or MSCH-C 226.

- Spring 2024CASE AHcourse

# MSCH-J 423 Public Opinion

- Credits
- 3
- Prerequisites
- At least junior standing; or consent of instructor
- Description
- Behavioral study of nature, operation, molding, and influence of public opinion, with practice in its measurement and evaluation. Discussion of major political, social, economic, and cultural problems.
- Repeatability
- Credit given for only one of JOUR-J 423 or MSCH-J 423.

# MSCH-M 326 Network Design

- Credits
- 3
- Prerequisites
- A grade of C- or higher in MSCH-C 207; or consent of instructor
- Description
- Basic concepts for developing an effective network system. The interaction between network technologies and human behavior.
- Repeatability
- Credit given for only one of MSCH-M 326 or TEL-T 326.

# MSCH-S 315 Media Processes and Effects

- Credits
- 3
- Prerequisites
- A grade of C- or higher in MSCH-C 213; or consent of instructor
- Description
- Examination of the effects of the mass media on human cognitions, attitudes, and behaviors, relying on empirical social science research; emphasis on the effects on individuals, although study will include groups, organizations, and social norms.
- Repeatability
- Credit given for only one of MSCH-S 315 or TEL-T 314.

- Spring 2024CASE SHcourse

# MSCH-S 348 Audience Analysis

- Credits
- 3
- Prerequisites
- A grade of C- or higher in MSCH-C 207; or consent of instructor
- Description
- The behavior, descriptors, and measurement of telecommunications audiences. Sample survey, focus groups, and other research methods used by the telecommunications industry.
- Repeatability
- Credit given for only one of MSCH-S 348 or TEL-T 348.

- Spring 2024CASE SHcourse

# SOAD-D 375 Interior Design Technical Studio

- Credits
- 3
- Prerequisites
- A grade of C- or higher in SOAD-D 272; and in SOAD-D 267 or SOAD D-277
- Notes
- Course fee required
- Description
- Application of building codes, construction methods and materials, specification, lighting, and building systems to the design of interior space. Course fees and field trips required.

# SOAD-M 350 Omnichannel Innovation

- Credits
- 3
- Prerequisites
- None
- Description
- Application of Human-Centered Design (HCD, aka. design thinking) in omnichannel merchandising to develop innovative omnichannel solutions and improve consumer/human experience.
- Repeatability
- Credit given for only one of AMID-R 350 or SOAD-M 350.

# SOC-S 210 Economic Sociology

- Credits
- 3
- Prerequisites
- None
- Description
- Introduction to the sociological study of economic action. Provides an overview of the sociological perspective of the economy on all levels--from the actions of individuals in economic situations, to organizational behavior, to the dynamics of markets and global capitalism.

- Spring 2024CASE SHcourse

# SOC-S 302 Organizations in Society

- Credits
- 3
- Prerequisites
- None
- Description
- Analysis of the internal structure of firms and other complex organizations, and their power in society. Considers how organizations are shaped by the state, suppliers, competitors, and clients; investigates how organizational structure shapes attitudes of managers and workers. Other topics include technology and organizational culture, organizational birth, death, and adaptation processes.

- Spring 2024CASE SHcourse

# SOC-S 315 Work in the New Economy

- Credits
- 3
- Prerequisites
- None
- Description
- Sociological perspective on work roles within such organizations as factory, office, school, government, and welfare agencies; career and occupational mobility in work life; formal and informal organizations within work organizations; labor and management conflict and cooperation; problems of modern industrial workers; and how work has changed over time.

- Spring 2024CASE SHcourse

# SOC-S 338 Sociology of Gender

- Credits
- 3
- Prerequisites
- None
- Description
- Sociological perspectives on gender in contemporary societies. Examination of norms regarding gender and how these norms influence and are influenced by individual behavior, group interaction, and social institutions. Topics to be discussed may include family, education, work, media, and other social institutions.

- Spring 2024CASE SHcourse

# BUS-C 104 BUSINESS PRESENTATIONS

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# BUS-C 204 BUSINESS COMMUNICATION

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# BUS-D 312 BUILDING MANAGERIAL CROSS CULTURAL COMPETENCIES

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# BUS-F 419 BEHAVIORAL FINANCE

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# BUS-G 300 INTRODUCTION TO MANAGERIAL ECONOMICS AND STRATEGY

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# BUS-G 304 MANAGERIAL ECONOMICS

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# BUS-G 303 GAME THEORY FOR BUSINESS STRATEGY

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# BUS-J 306 STRATEGIC MANAGEMENT AND LEADERSHIP

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# BUS-K 303 TECHNOLOGY AND BUSINESS ANALYSIS

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# BUS-K 353 BUSINESS ANALYTICS & MODELING

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# BUS-L 312 THE ETHICAL RESPONSIBILITIES OF BUSINESS

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# BUS-L 333 NEGOTIATION, RESOLVING CONFLICT AND LEADING CHANGE

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# BUS-M 300 INTRODUCTION TO MARKETING

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# BUS-M 303 MARKETING RESEARCH

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# BUS-M 311 INTRODUCTION TO MARKETING COMMUNICATION

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# BUS-M 312 RETAIL MARKETING MANAGEMENT

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# BUS-M 330 CONSULTATIVE SELLING

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# BUS-M 344 CREATIVITY AND COMMUNICATION

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# BUS-M 346 ANALYSIS OF MARKETING DATA

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# BUS-M 360 SALES FOR SOCIAL IMPACT

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# BUS-M 370 I-CORE - MARKETING COMPONENT

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# BUS-M 405 CONSUMER BEHAVIOR

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# BUS-M 431 BRAND MANAGEMENT

- Credits
- 1.5–1.5 credit hours
- Prerequisites
- None
- Description
- None

# BUS-M 432 DIGITAL MARKETING

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# BUS-S 326 WEB AND SOCIAL MEDIA ANALYTICS

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# BUS-W 430 ORGANIZATIONS AND ORGANIZATIONAL DESIGN

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# BUS-X 333 Managing Business Functions

- Credits
- 3
- Prerequisites
- None
- Description
- Open to juniors in the Liberal Arts and Management Program only. Offering a variety of real-world and simulated projects that wrestle with the complex opportunities and problems facing business managers in a variety of settings, this course emphasizes the development of strategic focus and decision-making skills under conditions of ambiguity, change, and uncertainty.

# BUS-Z 302 MANAGING AND BEHAVIOR IN ORGANIZATIONS

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# BUS-Z 340 INTRODUCTION TO HUMAN RESOURCES

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# BUS-Z 370 I-CORE - LEADERSHIP COMPONENT

- Credits
- 1.5–3 credit hours
- Prerequisites
- None
- Description
- None

# BUS-Z 404 EFFECTIVE NEGOTIATIONS

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# BUS-Z 447 LEADERSHIP, TEAMWORK AND DIVERSITY

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# INFO-I 101 INTRODUCTION TO INFORMATICS

- Credits
- 4–4 credit hours
- Prerequisites
- None
- Description
- None

# INFO-I 123 DATA FLUENCY

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# INFO-I 202 SOCIAL INFORMATICS

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# INFO-I 222 THE INFORMATION SOCIETY

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# INFO-I 300 HUMAN-COMPUTER INTERACTION DESIGN AND PROGRAMMING

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# INFO-I 303 ORGANIZATIONAL INFORMATICS

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# INFO-I 356 GLOBALIZATION, WHERE WE FIT IN

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# INFO-I 370 METHODS FOR HCC

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# INFO-I 422 DATA VISUALIZATION

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# INFO-I 423 BIG DATA APPLS & ANALYTICS

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# INFO-I 436 TECHNOLOGY INNOVATION

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# INFO-I 437 DESIGN STRATEGY

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# INFO-I 440 HUMAN ROBOT INTERACTION

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# INFO-I 441 INTERACTION DESIGN PRACTICE

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# ILS-Z 341 INFORMATION VISUALIZATION

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# SPEA-A 354 ARTS MARKETING FUNDAMENTALS

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# SPEA-V 236 MANAGING AND LEADING ORGANIZATIONS

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# SPEA-V 241 MANAGEMENT FOUNDATIONS AND APPROACHES

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# SPEA-V 362 NONPROFIT MANAGEMENT AND LEADERSHIP

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# SPEA-V 373 HUMAN RESOURCES MANAGEMENT IN THE PUBLIC SECTOR

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# SPEA-V 379 PERFORMANCE MEASUREMENT AND PROGRAM EVALUATION

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# SPEA-V 389 RISK AND HAZARD MITIGATION

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# SPEA-V 432 LABOR RELATIONS IN THE PUBLIC SECTOR

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# SPEA-V 435 NEGOTIATION AND ALTERNATIVE DISPUTE RESOLUTION

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# SPEA-V 436 COMMUNICATION FOR GOVERNMENT AND NONPROFIT ORGANIZATIONS

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# SPEA-V 443 MANAGING WORK FORCE DIVERSITY

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# SPEA-V 473 MANAGEMENT, LEADERSHIP, AND POLICY

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# SPEA-V 476 COMPENSATION STRATEGY AND SYSTEMS

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# SPEA-V 477 STRATEGIC HUMAN RESOURCE MANAGEMENT

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# SPEA-V 478 EMPLOYMENT LAW FOR HUMAN RESOURCES MANAGEMENT

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

# SPEA-V 479 EMPLOYEE RECRUITMENT AND SELECTION IN THE PUBLIC SECTOR

- Credits
- 3–3 credit hours
- Prerequisites
- None
- Description
- None

**Major GPA, Hours, and Minimum Grade Requirements.****Major GPA.**A GPA of at least 2.000 for all courses taken in the major—including those where a grade lower than C- is earned—is required.**Major Minimum Grade.**Except for the GPA requirement, a grade of C- or higher is required for a course to count toward a requirement in the major.**Major Upper Division Credit Hours.**At least 18 credit hours in the major must be completed at the 300–499 level.**Major Residency.**At least 18 credit hours in the major must be completed in courses taken through the Indiana University Bloomington campus or an IU-administered or IU co-sponsored Overseas Study program.

##### Major Area Courses

Unless otherwise noted below, the following courses are considered in the academic program and will count toward academic program requirements as appropriate:

- Any course at the 100-499 level with the
`PSY`

subject area prefix--as well as any other subject areas that are deemed functionally equivalent - Any course contained on the course lists for the academic program requirements at the time the course is taken--as well as any other courses that are deemed functionally equivalent--except for those listed only under Addenda Requirements
- Any course directed to a non-Addenda requirement through an approved exception

This program of study cannot be combined with the following:

- Bachelor of Arts in Psychology (PSYBA)
- Bachelor of Science in Clinical Psychological Science (CLPSYSCIBS)
- Bachelor of Science in Psychology (PSYBS)
- Certificate in the Psychology of Business (PSYBUSACRT)
- Minor in Psychology (PSYMIN)
- [Discontinued credential name unavailable] (PSYTSBA)
- [Discontinued credential name unavailable] (PSYTSBS)
- [Discontinued credential name unavailable] (CLPSYSTSBS)
- [Discontinued credential name unavailable] (OBPSYTSBS)

The Bachelor of Science degree requires at least 120 credit hours, to include the following:

**College of Arts and Sciences Credit Hours.**At least 100 credit hours must come from College of Arts and Sciences disciplines.**Upper Division Courses.**At least 36 credit hours (of the 120) must be at the 300–499 level.**College Residency.**Following completion of the 60th credit hour toward degree, at least 36 credit hours of College of Arts and Sciences coursework must be completed through the Indiana University Bloomington campus or an IU-administered or IU co-sponsored Overseas Study program.**College GPA.**A College grade point average (GPA) of at least 2.000 is required.**CASE Requirements.**The following College of Arts and Sciences Education (CASE) requirements must be completed:- CASE Foundations
- CASE Breadth of Inquiry
- CASE Culture Studies
- Diversity in the United States: 1 course
- Global Civilizations and Cultures: Not required

- CASE Critical Approaches: 1 course
- CASE Foreign Language: Proficiency in a single foreign language through the first semester of the second year of college-level coursework
- CASE Intensive Writing: 1 course
- CASE Public Oral Communication: 1 course

**Major.**Completion of the major as outlined in the Major Requirements section above.

Most students must also successfully complete the Indiana University Bloomington General Education program.