Recommended Courses for 2021-22

Programmatic Courses Recommended for 2025-26 Academic Year

Fall 2026

Courses Taught by LST Faculty

• • CS 525 Special Topics: Online Learning Environments - Monday & Thursdays 4:00 - 5:20 PM with Neil Heffernan

  • PSY Embodied Cognition- Wednesdays 4:00 - 7:00 with Erin Ottmar

Other Relevant Courses 

• • DS 551 Reinforcement Learning - Tuesdays 6:00 - 8:50 PM with Yanui Li 

  • MA 511 Applied Statistics for Engineers And Scientists - Mondays and Thursdays 5:30-6:50 PM Carly Thorpe

  • MIS 585-F02 - User Experience Applications - Online or Thurs 11-12:30 PM with Soussan Djamasbi 

  • A student can always petition the department for permission to satisfy the program requirements in alternative ways. For instance, we have had graduate students take CS1005 to learn Python and also do some extra project work applying writing a python program to reform learning science data sets. The program looks kindly upon students who want to challenge themselves by learning programming skills, and recognizes there are not many good "on-ramps" to CS courses. 

Spring 2026

Courses Taught by LST Faculty

• • CS 525 Human-AI Interaction - Tuesdays 6:00 - 8:50 with Erin Solovey

  • MA 542 Regression Analyses - Mondays  5:30 - 8:20PM with Adam Sales

  • PSY 504 Motivation, Metacognition, and Affect - Mondays and Thursdays 12:00-1:50 PM with Stacy Shaw

Other Relevant Courses 

• • PSY 590 S2 Social Neuroscience Methods - Tuesdays and Fridays 3:00 - 4:20 with Rich Lopez

  • CS 537 Data Visualization - Thursdays 6:00 - 8:50 with  Lane Harrison

  • DS 595 Natural Language Processing - Wednesdays 6:00 - 8:50 with Xiaozhong Liu

  • MA 511 Applied Statistics For Engineers And Scientists - Online Mike Johnson

Programmatic Courses Recommended for 2023-24 Academic Year

Fall 2023

Courses Taught by LST Faculty

• • CS 525 Special Topics: Online Learning Environments - Monday & Thursdays 4:00 - 5:20 PM with Neil Heffernan

  • PSY Embodied Cognition- Wednesdays 4:00 - 7:00 with Erin Ottmar

  • Independent Study Option—Intro to Statistical Modeling Using R (Better Book) - with Stacy Shaw. This is an asynchronous course using Coursekata textbook that teaches an introduction to statistical methods focusing on the general linear model using R. Recommended for students who want to strengthen their statistical foundations before taking more advanced coursework. Can count toward math or CS credit toward LST degrees. Contact Stacy for more information).

Other Relevant Courses 

• • DS 551 Reinforcement Learning - Tuesdays 6:00 - 8:50 PM with Yanui Li 

  • MA 511 Applied Statistics for Engineers And Scientists - Mondays 5:30-8:20 PM Carly Thorpe

  • MIS 585-F02 - User Experience Design - Online Thurs 11-12:30 PM with Soussan Djamasbi 

  • A student can always petition the department for permission to satisfy the program requirements in alternative ways. For instance, we have had graduate students take CS1005 to learn Python and also do some extra project work applying writing a python program to reform learning science data sets. The program looks kindly upon students who want to challenge themselves by learning programming skills, and recognizes there are not many good "on-ramps" to CS courses. 

Spring 2024

Courses Taught by LST Faculty

• • CS 534 Artificial Intelligence - Thursdays 6:00 - 8:50PM with Joe Beck

  • CS 567 Empirical Methods for Human Centered Computing - Tuesdays 6:00 - 8:50 with Joe Beck

  • MA 542 Regression Analyses - Mondays  5:30 - 8:20PM with Adam Sales

  • PSY 590 Writing in the Learning Sciences - Wednesdays 4:00 - 7:00 PM with Erin Ottmar

  • PSY 504 Motivation, Metacognition, and Affect - Tuesdays and Fridays, 3:00-4:50 PM with Stacy Shaw

Other Relevant Courses 

• • PSY 590 S2 Social Neuroscience Methods - Tuesdays and Fridays 3:00 - 4:20 with Rich Lopez

  • CS 537 Data Visualization - Thursdays 6:00 - 8:50 with  Lane Harrison

  • DS 595 Natural Language Processing - Wednesdays 6:00 - 8:50 with Xiaozhong Liu

  • MA 511 Applied Statistics For Engineers And Scientists - Mondays 5:30-8:20 Mike Johnson

Past Courses

Spring 2021

CS534 Artificial Intelligence, Mondays / Wednesdays from 11:00 to 12:20 (Dr. Joseph Beck)

CS541 Deep Learning, Mondays / Thursdays from 4:00 to 5:20 (Dr. Jacob Whitehill)

CS567 Empirical Methods For Human-Centered Computing, Tuesdays from 6:00 to 8:50 (Dr. Joseph Beck) 

SS590 Learning & Creativity, Wednesdays 4:00 to 6:50 (Dr. Stacy Shaw)

(Additional Courses of Interest) Spring 2021

CS 525 SPECIAL TOPICS: Brain-Computer Interaction (Dr. Erin Solovey)

CS 525 SPECIAL TOPICS: Predicting Human Decisions (Dr. Daniel Reichman)

NEU 590 Analysis of Neural Data (Dr. Ali Yousefi)