Introduction to Programming
This is an introductory programming course for IT law, Science & Technology, Quantitative Economy, Business Administration, Geoinformatics for Urbanised Society, Innovation and Technology Management students; the students of other departments who aim to pick up programming can also join the course.
The course consists of video lectures of Charles Severance and online practice sessions.
Before each practice session, the students have to watch the video lectures and solve a test concerning the current topic in Moodle. During the online practice sessions, the main topics will be reviewed and some exercises will be solved. The students have to submit all programs written during the session right after it to Moodle. After each practice session, the students have to solve exercises and submit the programs into Moodle (deadline is every Sunday 23:59 Estonian time).
The online practice sessions take place from week 2 to week 9.
Information about the grading system is here.
More detailed information will be given in the first online practice session on week 2 (10-11.09.2020).
|Number||Before session||Dates||Topics||During session||Homework||Additional information|
|1.||Before session 1||10.-11.09||Introduction. Expressions||During session 1||Homework 1|
|2.||Before session 2||17.-18.09||Conditional Execution||During session 2||Homework 2|
|3.||Before session 3||24.-25.09||Functions||During session 3||Homework 3|
|4.||Before session 4||01.-02.10||Iterations||During session 4||Homework 4|
|5.||Before session 5||08.-09.10||Strings||During session 5||Homework 5||Project formulation|
|6.||Before session 6||15.-16.10||Files||During session 6||Homework 6||Project formulation deadline|
|7.||Before session 7||22.-23.10||Lists||During session 7||Homework 7||Project|
|8.||Before session 8||29.-30.10||Graphics||During session 8||Homework 8||Project deadline and presentation|
|9.||Before exam||04.11 17:00 |
|Exam||Registration in SIS |
|19.11 17:00||Re-exam||Registration in SIS|
In case of any questions, post a message in the forum in Moodle or write to your supervisor:
- Marina Lepp (marina.lepp at ut.ee)
- Reelika Suviste (reelika.suviste at ut.ee)
- Kristiina Keps (kristiina.keps at gmail.com)
- Magnar Vares (magnarvares at gmail.com)
- Svetlana Golovko (svetlana.golovko at ut.ee)
- Mark Muhhin (mark.muhhin at ut.ee)
- Priit Paluoja (priitpaluoja at gmail.com)
Tips for success:
We encourage you to discuss home assignments, specific algorithms, properties of algorithms, etc. with other students; we ask only that you do not look at any source code written by a different student, nor show your solution code to other students before the deadline.