coursework

Masters §

Foundations §

• Logic, Automata & Complexity (CS103)
• Probability (CS109 or Stat116)
• Algorithmic Analysis (CS161)
  • Pre-reqs: CS106A, CS106B
• Computer Organ & Sys (CS107)
• Principles of Computer Systems (CS110)

Implementation §

• CS 221: Artificial Intelligence: Principles and Techniques

Breadth §

need 3 courses, one from each area

Area A §

• CS 154: Introduction to the Theory of Computation
• CS 157: Computational Logic
• CS 168: The Modern Algorithmic Toolbox
• CS 265: Randomized Algorithms and Probabilistic Analysis

Area B §

• CS 140: Operating Systems and Systems Programming
• CS 144: Introduction to Computer Networking
• CS 149: Parallel Computing

Area C §

• CS 147: Introduction to Human-Computer Interaction Design
• CS 148: Introduction to Computer Graphics and Imaging
• CS 155: Computer and Network Security
• CS 173A: Foundations of Computational Human Genomics

Area D §

• INTLPOL 268: Hack Lab: Introduction to Cybersecurity
• EARTHSYS 213: Innovation for Climate and Sustainability
• LAW 4039: Regulating Artificial Intelligence

Depth §

at least 4 of:

• CS 223A: Introduction to Robotics
• CS 224N: Natural Language Processing with Deep Learning
• CS 229: Machine Learning
• CS 234: Reinforcement Learning
• CS 231A: Computer Vision: From 3D Perception to 3D Reconstruction and Beyond
• CS 231N: Deep Learning for Computer Vision
• CS 224S: Spoken Language Processing
• CS 224U: Natural Language Understanding
• CS 224W: Machine Learning with Graphs
• CS 228: Probabilistic Graphical Models: Principles and Techniques
• CS 238: Decision Making under Uncertainty

at least 21 credits from:

• CS 224R: Deep Reinforcement Learning
• CS 229M: Machine Learning Theory
• CS 230: Deep Learning
• CS 236: Deep Generative Models
• CS 246: Mining Massive Data Sets
• STATS 315A: Modern Applied Statistics: Learning
• STATS 315B: Modern Applied Statistics: Learning II
• CS 205L: Continuous Mathematical Methods with an Emphasis on Machine Learning
• CS 227B: General Game Playing
• CS 233: Geometric and Topological Data Analysis
• CS 235: Computational Methods for Biomedical Image Analysis and Interpretation
• CS 273B: Deep Learning in Genomics and Biomedicine
• CS 281: Ethics of Artificial Intelligence
• CS 322: Triangulating Intelligence: Melding Neuroscience, Psychology, and AI
• CS 329A: Self Improving AI Agents
• CS 375: Large-Scale Neural Network Modeling for Neuroscience (PSYCH 249)

Undergrad §

Finance §

• MGFB10 - Principles of Finance
• MGFC10 - Intermediate Finance
• MGFC30 - Introduction to Derivative Markets
• MGFD30 - Risk Management
• MGFD10 - Investments
• MGFD40 - Investor Psychology
• MGFD25 - Financial Technologies and Applications

Quant Finance §

• STAC70 - Stats and Finance I
• STAD70 - Stats and Finance II

Stats §

• STAB52 - Introduction to Probability
• STAB57 - Introduction to Statistics
• STAC62 - Probability and Stochastic Processes I
• STAC67 - Regression Analysis
• STAD37 - Multivariate Analysis
• STAD57 - Time Series Analysis

Econ §

• MGEB02 - Price Theory: A Mathematical Approach
• MGEA02 - Introduction to Microeconomics: A Mathematical Approach
• MGEB06 - Macroeconomic Theory and Policy: A Mathematical Approach
• MGEB11 - Quantitative Methods in Economics I
• MGEB12 - Quantitative Methods in Economics II
• MGEC71 - Money and Banking

CS §

• CSCA08 - Introduction to Computer Science I
• CSCA48 - Introduction to Computer Science II
• CSCC11 - Introduction to Machine Learning
• CSCC37 - Numerical Algorithms for Computational Mathematics

Math §

• MATA22 - Linear Algebra I for Mathematical Sciences
• MATB24 - Linear Algebra II
• MATA30 - Calculus I for Physical Sciences
• MATA36 - Calculus II for Physical Sciences
• MATA67 - Discrete Mathematics
• MATB42 - Techniques of the Calculus of Several Variables I
• MATB42 - Techniques of the Calculus of Several Variables II
• MATB61 - Linear Programming and Optimization
• MATB44 - Differential Equations I
• MATC46 - Differential Equations II

Management §

• MGAB01 - Introductory Financial Accounting I
• MGAB02 - Introductory Financial Accounting II
• MGAB03 - Introductory Management Accounting
• MGTA05 - Foundations of Business Management
• MGTA36 - Management Communications
• MGOC10 - Analytics for Decision Making
• MGOC20 - Operations Management
• MGIA01 - Principles of International Marketing
• MGMB01 - Marketing Management
• MGIB02 - International Organizational Behaviour
• MGHB12 - Human Resource Management

Electives §

• VPMA68 - Small Ensemble I
• FREA01 - Language Practice I
• FREA02 - Language Practice II
• EESA06 - Introduction to Planet Earth