Universitetet for miljø- og biovitenskap (UMB)
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| INF200 |
Advanced Programming |
| Course responsible |
Hans Ekkehard Plesser |
IMT |
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| Number of credits allocated |
10.0 |
| Language |
English if required |
| Limits for class size |
24 |
| Semester/trimester |
| August block |
Autumn parallel |
January block |
Spring parallel |
June block |
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X |
X |
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| Colour explanation: Red/yellow = teaching periods. The red period indicates when the teaching starts. |
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| Type of course |
Autumn parallel - 52h teaching in computer lab
January block – 15h colloquium |
| Compulsory educational activities |
You must have gotten mandatory programming exercises approved during the autumn parallel to be allowed to commence work on the programming project in the January block. |
| Reduction of credits for overlapping courses |
INF210: 10stp |
| Prerequisites |
INF110 or INF120 or equivalent programming competence. |
| Exam |
L |
| Assessment methods |
Evaluation of the programming project in three parts: 1. Presentation of project (0-20 points) 2. Individual discussion of project (0-20 points) 3. Handed-in source code and documentation (0-60 points). If two students collaborate on a project, then a joint evaluation is given for parts 1 and 3, while individual evaluations is given for part 2. The overall grade is determined based on the total point score obtained. |
| Grading |
A-F |
| Nominal workload |
Autumn parallel 150h = 52h teaching in computer lab + 98h self study with course book and programming exercises
January block 150h = 15h colloquium + 127h programming project + 8h preparation of final presentation
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| Course frequency |
Annually |
| Comment on frequency |
- |
| Teaching methods |
Instruction in advanced programming during the autumn parallel:
All instruction will be in the computer lab, combining the presentation of new concepts with hands-on experience in the form of short programming tasks. Students will discuss each other’s programs.
Active participation in the exercises is central to successful learning in this course. Self study: You need to actively train the programming concepts and skills covered in the course to develop good programming skills. Thus, as a student in INF200, you have to write and improve smaller programs on your own.
Programming project during January block: The students carry out a programming project in groups of two. Through the project, you will learn to undertake and complete a larger project. The project will cover most of the techniques taught in the course and students will practice these techniques further by applying them to the project. The approach to the task, possible solutions and arising problems are debated in the plenum. All students shall be present in the course room during the “core period” from 9am to 3pm during the entire January block.
NB:
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| Teaching support |
en: Online discussion forum, assistance in the computer lab, tutoring during the programming project. |
| Examiner |
The external examiner will approve the the project task, as well as the examination instructions. The examiner participates in the evaluation of the students during the concluding presentations and individual discussions. |
| Entrance requirements |
Special requirements in Science
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| Preferential right |
Priority for students for whom the course is required, thereafter for students in the 2-year master program in computational biology, thereafter for IMT students. |
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| Note |
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The course consists of instruction in advanced programming in the autumn parallel and a project task in the January block. Course participants have to be present full time during the January block.
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| Objective of course |
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After completing the course, students will be able to:
- develop programs based on procedural and object-oriented programming;
- read and understand programs at an equivalent level of complexity;
- analyse tasks and implement algorithms to solve them;
- use functionality delivered by standard libraries;
- combine functionality implemented in different programming languages;
- localize errors in programs;
- use programming tools such as debuggers, profilers, testsuites, documentation tools and version control.
The student will have acquired deeper knowledge about the higher-level programming language that is used in the course. The student is able to evaluate the applicability of more complex programs and able to assert their quality. The student will have developed an insight into the programmer’s responsibility for the correct and reliable functioning of his or her own programs, their quality and documentation. |
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| Course contents |
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1. Programming tools: development environment and version control
2. Repetition of basic programming in Python
3. Test-based programming and testsuites, documentation tools
4. Object-oriented programming in Python
5. Debugging and profiling
6. Increasing efficiency with Cython
7. Selv-implemented Python modules in C++
8. Programming project |
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| Syllabus |
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| Will be announced on ClassFronter well ahead of the course start. |
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| Last updated |
2011-04-14 |
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