Course Catalog 2012-2013
Basic

Basic Pori International Postgraduate Open University

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Course Catalog 2012-2013

SGN-1706 Signal Processing Project, 5-8 cr

Person responsible

Sari Peltonen

Lessons

Study type P1 P2 P3 P4 Summer Implementations Lecture times and places
Lectures
 2 h/week
+2 h/week
+2 h/week

 

 
SGN-1706 2012-01 Friday 12 - 14, TB110

Requirements

Attendance on seven seminar meetings. Two presentations and written project plan and final report.
Completion parts must belong to the same implementation

Principles and baselines related to teaching and learning

-

Learning outcomes

After completing the course, the student - has learned detailed information about a specific topic in signal processing or computational systems biology, - is able to manage a small project, - can work in a project and write project reports in the technical scientific format, - has the ability to present the project to an audience, and - has gained insight into writing the diploma thesis.

Content

Content Core content Complementary knowledge Specialist knowledge
1. Individual or group project.     
2. Project management, scheduling and cost estimation.     
3. Correct reporting.     
4. Ability to present one's project to audience.     

Evaluation criteria for the course

Credits are assessed by the difficulty of the project and work load of the student. Credits are agreed in the project plan and possible extra work which would increase the amount of credits is also described in the same report.

Assessment scale:

Evaluation scale passed/failed will be used on the course

Partial passing:

Completion parts must belong to the same implementation

Prerequisites

Course Mandatory/Advisable Description
SGN-1158 Introduction to Signal Processing, short version Mandatory   1
SGN-1201 Signaalinkäsittelyn menetelmät Mandatory   1
SGN-6106 Computational Systems Biology Mandatory   1

1 . One of the courses SGN-1158, SGN-1201 and SGN-6106 is mandatory.

Additional information about prerequisites
Student should have enough basic knowledge from signal processing or computational systems biology to be able to do the chosen project work.

Prerequisite relations (Requires logging in to POP)



Correspondence of content

Course Corresponds course  Description 
SGN-1706 Signal Processing Project, 5-8 cr SGN-81006 Signal Processing Innovation Project, 5-8 cr  
SGN-1706 Signal Processing Project, 5-8 cr SGN-1700 Signal Processing Project, 5-8 cr  
SGN-1706 Signal Processing Project, 5-8 cr 8006200 Signal Processing Project, 0 cr  

More precise information per implementation

Implementation Description Methods of instruction Implementation
SGN-1706 2012-01   Practical works
   
Contact teaching: 0 %
Distance learning: 0 %
Self-directed learning: 0 %  

Last modified12.01.2012