Introduces databases from the programmer's perspective. IT and CS students have common lectures but different projects. IT students learn the fundamentals of database design, SQL, and how to integrate a database into applications. CS students learn the fundamentals of database design, application integration, query motors, and space management.
| Day | Start Time | End Time | Room |
|---|---|---|---|
Monday | 16:55 | 18:15 | PL-1 |
Thursday | 16:55 | 18:15 | PL-1 |
| Day | Start Time | End Time | Room |
|---|---|---|---|
Friday | 13:45 | 15:05 | C-302 |
Tuesday | 12:10 | 15:05 | C-302 |
| Day | Start Time | End Time | Room |
|---|---|---|---|
Thursday | 13:45 | 16:40 | C-501 |
Offers a practical workshop in the art of acting and dramatic expression. Students learn to bring texts to life on stage through a variety of approaches to performance. This course develops valuable analytical skills through play analysis, as well as building confidence in presentation and group communications skills through acting techniques and the rehearsal and performance of play scenes. May be taken twice for credit.
| Day | Start Time | End Time | Room |
|---|---|---|---|
Wednesday | 15:20 | 18:15 | M-013 |
Considers a selection of Shakespeare's plays in the context of the dramatist's explorations of the possibilities of theatricality. Examines how theater is represented in his work and how his work lends itself to production in theater and film today. Students view video versions, visit Paris theaters, and travel to London and Stratford-on-Avon to see the Royal Shakespeare Company in performance.
| Day | Start Time | End Time | Room |
|---|---|---|---|
Monday | 10:35 | 11:55 | G-L22 |
Thursday | 10:35 | 11:55 | G-L22 |
Introduces the tools of statistical analysis. Combines theory with extensive data collection and computer-assisted laboratory work. Develops an attitude of mind accepting uncertainty and variability as part of problem analysis and decision-making. Topics include: exploratory data analysis and data transformation, hypothesis-testing and the analysis of variance, simple and multiple regression with residual and influence analyses.
| Day | Start Time | End Time | Room |
|---|---|---|---|
Monday | 12:10 | 13:30 | PL-4 |
Thursday | 12:10 | 13:30 | PL-4 |
Wednesday | 12:10 | 13:30 | C-302 |
Introduces the tools of statistical analysis. Combines theory with extensive data collection and computer-assisted laboratory work. Develops an attitude of mind accepting uncertainty and variability as part of problem analysis and decision-making. Topics include: exploratory data analysis and data transformation, hypothesis-testing and the analysis of variance, simple and multiple regression with residual and influence analyses.
| Day | Start Time | End Time | Room |
|---|---|---|---|
Monday | 16:55 | 18:15 | PL-2 |
Thursday | 16:55 | 18:15 | PL-2 |
Wednesday | 16:55 | 18:15 | C-302 |
Introduces the tools of statistical analysis. Combines theory with extensive data collection and computer-assisted laboratory work. Develops an attitude of mind accepting uncertainty and variability as part of problem analysis and decision-making. Topics include: exploratory data analysis and data transformation, hypothesis-testing and the analysis of variance, simple and multiple regression with residual and influence analyses.
| Day | Start Time | End Time | Room |
|---|---|---|---|
Monday | 13:45 | 15:05 | PL-5 |
Thursday | 13:45 | 15:05 | PL-5 |
Wednesday | 13:45 | 15:05 | C-302 |
Introduces the tools of statistical analysis. Combines theory with extensive data collection and computer-assisted laboratory work. Develops an attitude of mind accepting uncertainty and variability as part of problem analysis and decision-making. Topics include: exploratory data analysis and data transformation, hypothesis-testing and the analysis of variance, simple and multiple regression with residual and influence analyses.
| Day | Start Time | End Time | Room |
|---|---|---|---|
Monday | 12:10 | 13:30 | C-302 |
Thursday | 12:10 | 13:30 | C-302 |
Wednesday | 12:10 | 13:30 | PL-4 |
This project-based course introduces data science by looking at the whole cycle of activities involved in data science projects. Students will learn how to think about problems with rigor and creativity, ethically applying data science skills to address those problems. The course project will address the theoretical, mathematical and computational challenges involved in data science.
| Day | Start Time | End Time | Room |
|---|---|---|---|
Tuesday | 10:35 | 11:55 | Q-704 |
Friday | 10:35 | 11:55 | Q-704 |