ALGORITHMS
 
Lectured in 1st year Bachelor in Information Technology
Theory [A] 25.0
Exercises [B] 12.5
Training and projects [C] 12.5
Studytime [D] 125
Studypoints [E] 5
Level in-depth
Language of instruction Dutch
Lecturer Karine VAN DRIESSCHE
Reference OCTOIN01A00009
 
Key words
HEADWORDS, algorithm, IWETO-code, p160-programmation; p170-numeral analysis; p175-informatics

Objectives
To obtain an insight into teaching students the following attitudes:
- to obtain the principles of algorithmic analysis
- to transfer numeral and other problems in programmable methods
- to obtain insight in the different data structures


Topics
- Iteration and recursivity
- Principles of induction
- Data structures (stacks, queues, lists, trees)
- Assortalgorithms
- Searchalgorithms
- Capita selecta numeral methods

Prerequisites
- Knowledge of Algebra from Boole
- Knowledge of analysis; grow of functions

Final Objectives
GENERAL REQUISITES
- KNOWLEDGE:- Mathematics
- SKILLS:- be able to think analytically and problem solving
- ATTITUDES:

GENERAL PROFESSIONAL REQUISITES
- KNOWLEDGE:
- SKILLS:- develop instruments for system-and application software
- ATTITUDES:- test the functioning

SPECIFIC PROFESSIONAL REQUISITES
- KNOWLEDGE:
- SKILLS:
- ATTITUDES:

Materials used
- Alice CD-rom
- Course material
- Electronical study environment
- AIM-server
- For this part of educational training students use their laptop

Study costs
Alice-CD already bought for Applied Mathematics 1
Course material

Study guidance
Individual learning problems can always be mentioned to the teacher and be remedied.
Guiding and coaching of students during the self study.
The student can always ask for information during the study period.

Teaching Methods
teaching conversation
exercises
In the guided self study students will have to search information on their own.

Assessment
FIRST SESSION:
Written exam: 60%
Tasks: 40%

SECOND SESSION:
Written exam: 100%

Lecturer(s)