Master of Bioinformatics: Programme overview

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Introduction session

An introduction session will be organised on Monday September 25th, 15.00h in the Jozef Heuts auditorium (00.215) of the Landbouwinstituut, the main building of the Faculty of Bioscience Engineering. The Landbouwinstituut is situated in the Kasteelpark Arenberg in Heverlee. A route desription to the Landbouwinstituut can be found here.

Crash course English

International students enrolling for the programme are strongly encouraged to upgrade their English language skills in the crash courses that are offered by the K.U.Leuven Institute of Modern Languages (Instituut voor levende talen, ILT). More information on these crash courses can be found here

Who to contact?

For general problems you can contact Mrs. Greta Camps .
For problems that are related to the examinations (e.g. when you get sick or in case of irregularities DURING THE EXAMS), you can contact the ombuds ladies: Karen Lemmens and Esther Venmans

Curriculum

The program is adapted to students with strongly different background (either biological or mathematical). A first module (comprising the first 6 weeks) aims at giving an overview of the field of knowledge that the student is least familiar based on his/her curriculum. A second, common module gives a more advanced overview of the field of bioinformatics.

Parallel Modules

Introductory module of 6 weeks (covers a total of 150 h, 15 study points) in biochemistry-genetics or information-technology. Depending on their previous curriculum students are required to take one of the parallel modules. Students are allowed to propose other coherent programs that meet their goals, as long as their personal program is conform to the basic requirements of the standard program. The personal program needs to be approved by the steering committee, responsible for the organization of the program.

Module: Biochemistry-Genetics

For all information on the module Biochemistry-Genetics we refer to the coordinator:
Guido Volckaert
tel:016/329667
mail:Guido.Volckaert@biw.kuleuven.be

Module: Information Technology

You can find the timetable for the Information Technology module here
A list of the books that are used in the courses and the book stores where you can buy them, can be found here
The route descriptions to the different buildings where classes take place can be found here

	Course	Title	Syllabus	Hours	Study Points	Teacher	Coordinator
1	IH83	IT tools for bioinformatics	doc	1 sh	3 pt.	Bart Baesens Hugo Ceulemans	Bart Baesens
2	IH85	IT tools for bioinformatics: Exercises	-	1 sh	-	Bart Baesens Hugo Ceulemans	Bart Baesens
3	IH82	Applied Statistical Methods for Bioinformatics	doc	2 sh.	4 pt.	Bart Baesens An Carbonez Bart De Moor Kathleen Marchal	Bart De Moor
3	IH84	Applied Statistical Methods for Bioinformatics: Exercises	-	2 sh.	4 pt.	Bart Baesens An Carbonez Bart De Moor Kathleen Marchal	Bart De Moor
4	IF16	Database Management	doc	3 sh.	5 pt.	Wilfried Lemahieu	Wilfried Lemahieu
5	IE78	Bioinformatics	doc	2 sh.	3 pt.	Kathleen Marchal Yves Moreau Anne-Mieke Vandamme Marc Van Ranst	M. Van Ranst

Common module

	Course	Title	Syllabus	Hours	Study Points	Teacher	Coordinator
1	IE64	Molecular model building	doc	2 sh.	4 pt.	Marc De Maeyer	Marc De Maeyer
1b	IE65	Molecular model building: Exercises	-	1 sh.	-	Marc De Maeyer	Marc De Maeyer
2	IE66	Theories and methods to study molecular interactions	doc	2 sh.	4 pt.	Yves Engelborghs Johan Hofkens Johan Robben	Yves Engelborghs
2b	IE67	Theories and methods to study molecular interactions: Exercises	-	1 sh.	-	Yves Engelborghs Johan Hofkens Johan Robben	Yves Engelborghs
3	IE68	Biological databases	doc	2 sh.	4 pt.	Mark Lambrecht Janick Mathys	Janick Mathys
3b	IE69	Biological databases: Exercises	-	1 sh.	-	Mark Lambrecht Janick Mathys	Janick Mathys
4	IE70	Optimization and bayesian statistics for biological data analysis	doc	3 sh.	7 pt.	Emmanuel Lesaffre Yves Moreau Eddie Schrevens	Emmanuel Lesaffre
4b	IE71	Optimization and bayesian statistics for biological data analysis: Exercises	-	3 sh.	-	Emmanuel Lesaffre Yves Moreau Eddie Schrevens	Emmanuel Lesaffre
5	IE72	Case studies in bioinformatics system integration	doc	2 sh.	4 pt.	Bart De Moor	Bart De Moor
5b	IE73	Case studies in bioinformatics system integration: Exercises	-	1 sh.	-	Bart De Moor	Bart De Moor
6	H2C4	Artificial Neural Networks	doc	1.5 sh	3 pt.	Desiré Bollé Joos Van De Walle	Joos Van De Walle
6b	H0G8	Artificial Neural Networks: Exercises	-	1 sh	-	Desiré Bollé Joos Van De Walle	Joos Van De Walle
-	-	Students must choose one of the following optional courses:	-	-	-	-	-
7	GH35	Intellectual property management.	doc	2 sh.	4 pt.	Marie-Christine Janssens	Marie-Christine Janssens
8	H2C1	Machine learning and inductive inference	doc	1.5 sh.	4 pt.	Hendrick Blockeel	Hendrick Blockeel
8b	H0G6	Machine learning and inductive inference: Exercises	-	1 sh.	-	Hendrick Blockeel	Hendrick Blockeel
9	D204	Innovation management	doc	2 sh.	4 pt.	Bart Van Looy	Bart Van Looy
10	H2C5	Object Oriented Programming	doc	1.5 sh.	4 pt.	Tom Holvoet	Tom Holvoet
10b	H0H8	Object Oriented Programming: Exercises	-	1 sh.	-	Tom Holvoet	Tom Holvoet

Internship

An individual internship of 6 weeks in either a research laboratory or company, guided by an approved supervisor. The results of this internship will be summarized in a dissertation followed by an oral presentation.