Technology & Information Management Electives

Economics Electives (1 required)
Students can use any 5 unit upper division Econ course not already required for the major numbered 100-190. The following Economics courses are strongly recommended for TIM majors:
  • ECON 100B Intermediate Macroeconomics

  • ECON 101 Managerial Economics

  • ECON 115 Introduction to Management Sciences

  • ECON 130 Money and Banking

  • ECON 131 International Financial Markets

  • ECON 133 Security Markets and Financial Institutions

  • ECON 135 Corporate Finance

  • ECON 136 Business Strategy

  • ECON 161A Marketing

School of Engineering Electives (2 required)
Students can use any 5-unit upper division or graduate School of Engineering courses with these exceptions:

1. Either STAT 131 or CSE 107 but not both

2. At most one independent study or field-study course (193, 195, 198, 199) with prior approval from the Department.
    The list below are suggestions for SOE electives, and does not list every possible course that could count as an elective.

Applied Mathematics 
  • AM 129 Foundations of Scientific Computing for Scientists and Engineers  

  • AM 147 Computational Methods and Application

Computational Media
  • CMPM 131 User Experience in Interactive Media 

  • CMPM 150 Creating Digital Audio

  • CMPM 151 Algorithmic Music for Games 

  • CMPM 178 Human-Centered Design Research

Computer Science & Engineering
  • CSE 100/L Logic Design

  • CSE 101 Algorithms and Abstract Data Types

  • CSE 107 Probability and Statistics for Engineers  

  • CSE 111 Advanced Programming 

  • CSE 118 Mobile Applications

  • CSE 120 Computer Architecture

  • CSE 145 Introduction to Data Mining

  • CSE 151/L Advanced Computer Networks

  • CSE/ECON 166A Game Theory and Applications I

  • CSE 174 Decision Analysis in Management  

  • CSE 183 Web Applications

  • CSE 193 Field Study (needs approval that is determined by the department via Course Substitution Petition)

Electrical Engineering
  • ECE 180J Advanced Renewable Energy Sources

Statistics
  • STAT 131 Introduction to Probability Theory