Courses 2018-2019

Our autumn and spring semesters are divided into two periods. During the study year 2018-2019 the periods are as follows:

Period 1: September 3 - October 26, 2018
Period 2: October 29 - December 18, 2018
Period 3: January 7 - March 15, 2019
Period 4: March 18 - May 24, 2019

Typically a course lasts for one period, but some courses (especially seminars) can last two periods or the whole year. IMPIT provides a high quality information technology education. Courses are offered from the two campuses of UEF.

MANDATORY COURSES

Code Course name ECTS Period
3621511 Design and Analysis of Algorithms 6 1
3621566 Impit seminar 3-6 1-4
3622321 Introduction to Statistical Inference 1  5 ?
  Personal study plan* 1  
3621535 Master's Project in Computer Science  (IT-project) 10-20  
3621592/3 MSc thesis and Master’s Essay 30  

 

* together with an academic coordinator

 

ELECTIVE ADVANCED LEVEL COURSES in COMPUTER SCIENCE, 2018-2019

Code Course name ECTS Period
       
3621520 Computational Color (only in Joensuu) 5 1
3621675 Deep Learning 6 1
3621666 Advanced Studies in Innovation - Development case: Epic Challenge 5-15 1-4
3621523 State of Art Technologies in Education (web course) 5 1
       
       
3621547 Location-aware mobile applications development 5 2
3621518 Machine Vision 5 2
3621512 Software Engineering 6 2
       
3621597 Location-aware Machine Intelligence 5 3
3621681 Matrix Decomposition Methods in Data Analysis 5 3
3621513 Research Methods in Computer Science 6 3
3621521 Technologies for Development and Education (web course) 5 3
       
3621680 Algorithmic data analysis 5 4
3621587 Eye Tracking (web course) 5 4
3621517 Pattern Recognition 5 4

 

** Original course is worth of 4 ECTS. Students can gain 5 ECTS by doing an additional task.

You can also include maximum of 18 ECTS of following courses under you advanced level computer science courses. 

Code Course name ECTS Period (2018/2019)
3622350 Analysis of Grouped Data (to be added) 5 1
3622323 Introduction to Statistical Inference 2 4 1
3312073 Applications of Photonics** 4/5 2
3312031 Spectral Imaging Devices 5 1-2
3622347 Bayesian Inference 1 5 2
3312062 Color Science 4 3
3622348 Bayesian Inference 2 4 3
3312025 Display Technologies 5 3
3622349 Spatial Statstics (equals to Spatial Statistics 1) 5 exam
3622328 Regression Analysis 1 4 exam
3622329 Regression Analysis 2 4 exam
3622342 Spatial Statistics 1 (equals to Spatial Statistics) 5 4
3622314 Linear Mixed-Effects Models 4 exam
3622321 Introduction to Statistical Inference 1 (mandatory IMPIT course) 5  
3622346 Generalized Linear Models 5 exam
3622233 Statistical Experimental Design 5 exam

 

** Original course is worth of 4 ECTS. Students can gain 5 ECTS by doing an additional task.

OTHER ELECTIVE COURSES, 2018-2019

You can take courses from other departments and also intermediate CS / statistics courses, and include them in the elective part of your plan. Below are some examples of suitable courses during the study year 2018-2019.

BACHELOR LEVEL studies in computer science    
Code Course name ECTS Period
3621313 Data Structures and Algorithms I (BSc level) 5 exam
3621318 Data Structures and Algorithms II (BSc level) 3 exam
3622111 Basic Statistic in English 5 2
3622223 Basic course in R 2 self study
3622224 SPSS Online Course 1 self study
       
3310306 Matlab fundamentals 2 1      
3312069 Basics of Signal Processing 3 3            
3313008 Commercializing high-tech (photonics)  4 3-4      

 

COURSE SCHEDULES

You can use Lukari service to compile your course schedule:

1. Log in with your UEFAD account (then change to English if needed)

2. Search for courses, either by name or code, or the directly "Search by class or group" and find "IMPIT/CB". With this group selection, you will have the list of courses for IMPIT

3. Tick the boxes of the courses you are planning to take and see the schedule in the "Timetable" tab. You can also export an iCal file to your own calendar.

Please note that all departments are not using the Lukari service. If you will take courses from other departments, you can see the schedules in WebOodi service.