DSC coursesUC San Diego
83 courses · UC San Diego
- DSC 10 Principles of Data Science
- DSC 20 Programming and Basic Data Structures for Data Science
- DSC 30 Data Structures and Algorithms for Data Science
- DSC 40A Theoretical Foundations of Data Science I
- DSC 40B Theoretical Foundations of Data Science II
- DSC 80 The Practice and Application of Data Science
- DSC 90 Seminar in Data Science
- DSC 95 Tutor Apprenticeship in Data Science
- DSC 96 Workshop in Data Science
- DSC 97 Internship in Data Science
- DSC 98 Directed Group Study in Data Science
- DSC 99 Independent Study in Data Science
- DSC 100 Introduction to Data Management
- DSC 102 Systems for Scalable Analytics
- DSC 104 Beyond Relational Data Management
- DSC 106 Introduction to Data Visualization
- DSC 120 Signal Processing for Data Analysis
- DSC 123A Optimization Methods for Data Science I
- DSC 123B Optimization Methods for Data Science II
- DSC 140A Probabilistic Modeling and Machine Learning
- DSC 140B Representation Learning
- DSC 148 Introduction to Data Mining
- DSC 155 Hidden Data in Random Matrices
- DSC 160 Data Science and the Arts
- DSC 161 Text as Data
- DSC 167 Fairness and Algorithmic Decision-Making
- DSC 170 Spatial Data Science and Applications
- DSC 180A Data Science Project I
- DSC 180B Data Science Project II
- DSC 190 Topics in Data Science
- DSC 191 Seminar in Data Science
- DSC 197 Data Science Internship
- DSC 198 Directed Group Study in Data Science
- DSC 199 Independent Study for Data Science Undergraduates
- DSC 200 Data Science Programming
- DSC 202 Data Management for Data Science
- DSC 203 Data Visualization and Scalable Visual Analytics
- DSC 204A Scalable Data Systems
- DSC 205 Geometry of Data
- DSC 206 Algorithms for Data Science
- DSC 207R Python for Data Science
- DSC 208R Data Management for Analytics
- DSC 209R Data Visualization
- DSC 210 Numerical Linear Algebra
- DSC 211 Introduction to Optimization
- DSC 212 Probability and Statistics for Data Science
- DSC 213 Statistics on Manifolds
- DSC 214 Topological Data Analysis
- DSC 215 Statistical Thinking and Experimental Design
- DSC 215R Foundations of Probability and Statistics in Data Science
- DSC 231 Embedded Sensing, IOT Data Models, and Methods
- DSC 232R Big Data Analytics Using Spark
- DSC 240 Machine Learning
- DSC 241 Statistical Models
- DSC 242 High-Dimensional Probability and Statistics
- DSC 243 Advanced Optimization
- DSC 244 Large-Scale Statistical Analysis
- DSC 245 Introduction to Causal Inference
- DSC 250 Advanced Data Mining
- DSC 251 Machine Learning in Control
- DSC 252 Statistical Natural Language Processing
- DSC 253 Advanced Data-Driven Text Mining
- DSC 254 Statistical Signal and Image Analysis
- DSC 255R Machine Learning Fundamentals
- DSC 256R Data Mining on the Web
- DSC 257R Unsupervised Learning
- DSC 258R Natural Language Processing
- DSC 259R Practice and Applications
- DSC 260 Data Science, Ethics, and Society
- DSC 261 Responsible Data Science
- DSC 266R Human-Centered Artificial Intelligence
- DSC 267R Data Fairness and Ethics
- DSC 270 Interpretability and Explainability in Machine Learning
- DSC 288R Graduate Capstone in Data Science
- DSC 290 Seminar in Data Science
- DSC 291 Topics in Data Science
- DSC 293 Faculty Research Seminar
- DSC 294 Research Rotation
- DSC 295 Academia Survival Skills
- DSC 297 DSC Graduate Internship
- DSC 299 Graduate Research
- DSC 500 Teaching Assistantship
- DSC 599 Teaching Methods in Data Science