Teaching

SPRING (S) SUMMER (Su) FALL (F)

Undergraduate Level

•          Systems and Technologies [3 (2-1)] F23, S23

•          Applied Deep Learning [3 Credits] S22

•          Big Data Analytics [3 Credits] S21, F21

•          Data Visualization [3 Credits] F20

•          Multimedia Data Analytics (Sentiment Analysis) [3 Credits] S21

•          Introduction to Data Warehousing and Data Mining [3 Credits] S20

•          Database Management System (DBMS) [4 Credits] F04, S05, F05, S06, S21

•          Database Security [3 Credits] F21

•          Database Technologies [3 Credits] F10, Su11, S13, F13, S14, F14, S15, F15, S16, S17, F18

•          Distributed Databases [3 Credits] F06, S19

•          Probability and Statistics for Computer Science [3 Credits] S11, F11, S12, F12, S13, F13, S19

•          Web Application Development [3 Credits] F21

•          Introduction to Programming [3 Credits] F20

•          Introduction to Information Technology [3 Credits] F06

•         Fundamentals of Data Networks [3 Credits] F17

•         Operating Systems [3 Credits] S22

•         Software Project Management [3 Credits] S22

Post-Graduate Level

•          Data Science and Big Data Analytics [3 Credits] F21

•          Data Warehousing and Big Data Analytics [3 Credits] S20

•          Data Mining [3 Credits] S11, S12, S13, S14, S15, S16, F18

•          Information and Content Management [3 Credits] S21

•          Web Search and Information Retrieval [3 Credits] F11, F12, F14, F15, F16, S17

•          Research Methods [3 Credits] F10, F13, F15