Department of Psychological and Brain Sciences
Minor in Psychology
Students on Summer 2020, Fall 2020, or Spring 2021 requirements PSYMIN
Requirements
The minor requires at least 15 credit hours, including the requirements listed below.
- Core. One of the following options:
- 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.
- Fall 2024CASE NMcourse
- Introductory Psychology.
- 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-B 105, PSY-P 106, PSY-P 151, or PSY-P 155.
- Fall 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-B 104, PSY-P 106, or PSY-P 152.
- Fall 2024CASE SHcourse
- Introductory Psychology I. One (1) course:
- Introduction to Psychological and Brain Sciences. One (1) course:
- 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.
- Fall 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.
- Fall 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.
- Fall 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
- 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.
- Fall 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
- 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.
- Fall 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
- 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.
- Fall 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.
- Fall 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.
- Fall 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
- 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.
- Fall 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
- 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.
- Fall 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
- 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.
- Fall 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
- 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.
- Fall 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
- 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.
- Fall 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
- 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.
- Fall 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
- Electives. Three (3) courses:
- Any PSY-C 400–499
- Any PSY-P 300–399
- Any PSY-P 400–499 except PSY-P 499
- PSY-P 499 Honors Thesis Research with departmental approval
- Any PSY-Y 300–399
- Any PSY-Y 400–499
- One instance of the following for at least 3 credit hours:
- PSY-X 397 Supervised Research I
- PSY-X 398 Supervised Research II
- PSY-X 497 Supervised Research III
- PSY-X 498 Capstone Supervised Research
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 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.
- Minor GPA, Hours, and Minimum Grade Requirements.
- Minor GPA. A GPA of at least 2.000 for all courses taken in the minor—including those where a grade lower than C- is earned—is required.
- Minor 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 minor.
- Minor Upper Division Credit Hours. At least 9 credit hours in the minor must be completed at the 300–499 level.
- Minor Residency. At least 9 credit hours in the minor must be completed in courses taken through the Indiana University Bloomington campus or an IU-administered or IU co-sponsored Overseas Study program.
Minor 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
- Any course at the 100–499 level with the
- NULL:
This program of study cannot be combined with the following:
- Bachelor of Arts in Psychology (PSYBA)
- Bachelor of Arts in Psychology - TSAP version (PSYTSBA)
- Bachelor of Science in Psychology (PSYBS)
- Bachelor of Science in Psychology - TSAP version (PSYTSBS)
- Certificate in Clinical Psychological Science (CLNPSYACRT)
- Certificate in the Psychology of Business (PSYBUSACRT)
- [Name unavailable] (CLPSYSCIBS)
- [Name unavailable] (OBPSYBS)
- [Name unavailable] (CLPSYSTSBS)
- [Name unavailable] (OBPSYTSBS)
Exceptions to and substitutions for minor requirements may be made with the approval of the unit's Director of Undergraduate Studies, subject to final approval by the College of Arts and Sciences.