Welcome to the course Introduction to Programming with Scientific Applications. The course gives an introduction to the Python 3 programming language using the book "Introduction to Computation and Programming Using Python With Application to Understanding Data" by John Guttag. The book covers the basics of Python and contains a long list of scientific applications. For the more subtle features of Python, students are encouraged to seek information online in e.g. the Python language specification.
The course will be run with 2 x 2 hours of weekly lectures, 3 hours of TA classes ("øvelser"), and 3 hours of staffed study café.
During the course students are required to hand in 10 weekly handins and one larger implementation project. Handins and the project is done in groups of up to three persons. The final exam will be a multiple-choice exam without aids, and the final grade will be based on overall evaluation of the project and the multiple choice exam.
The course gives an introduction to programming with scientific applications. Programming concepts and techniques are introduced using the Python programming language. The programming concepts are illustrated in other programming languages. The following content is included.
After the course the participants will have knowledge of principles and techniques for systematic construction of programs. At the end of the course, the participants will be able to:
Name | Office | ||
Lecturer | Gerth Stølting Brodal | gerth@cs.au.dk | Nygaard 321 |
Lectures take place on Wednesday at 14:15-16:00 and Friday at 08:15-10:00 in iNANO auditorium (1593-012A). The first lecture takes place on Wednesday January 29, 2020.
Exercise classes take place as follows:
Class | Date & time | Room |
DV1 | Wednesday 11-14 | 1521-322 |
KE | Monday 13-16 | 1593-218 |
MA1 | Thursday 9-12 | D.01 |
MA2 | Thursday 14-17 | D.01 |
MØ1 | Tuesday 12-15 | D.02 |
MØ3 | Friday 11-14 | G.31 |
TV | Tuesday 8-11 | G.31 |
Exercise classes start Monday February 3, 2020.
Study café takes place as follows (week in parenthesis):
Weekday | Time | TA | TA |
Monday | 8-9 | Koll G3 | TAs |
Wednesday | 16-17 | iNano auditorium | Gerth |
Friday | 10-11 | 1593-226 | TAs |
Below is an estimation of the expected time consumption of the course.
Lectures | 4 hours pr week | 56 |
Theoretical exercises | 3 hours pr week | 39 |
Study Café | 1 hours pr week | 14 |
Handins / project | 3 hours pr week | 42 |
Preparation for lectures | 2 hours pr week | 28 |
Preparation for theoretical exercises | 2 hours pr week | 26 |
Preparation for the exam | 40 | |
Exam | 2 | |
Grand total | 247 |
The material for the course primarily consists of slides from the lectures and online documentation available from python.org and related sites.
The following book gives a good background for the course, but it is not mandatory to buy the book for attending the course.
John V. Guttag. Introduction to Computation and Programming Using Python With Application to Understanding Data. Second Edition. 472 pages. MIT Press, 2016. ISBN: 9780262529624. The book will be available at Stakbogladen in January. |