Designing Smart Learning Environments3621512Software EngineeringSoftware Engineering3621647Advancet Topics in Algorithms

Courses 2019-2020

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
3622352 Probabilistic inference for Data Science 1 * 5 2
  Personal study plan** 1  
3621535 Master's Project in Computer Science  (IT-project) 10-20  
3621592/3 MSc thesis and Master’s Essay 30  

 

* This course replaces the course Introduction to Statistical inference 1

** together with an academic coordinator

 

ADVANCED LEVEL COURSES in COMPUTER SCIENCE, 2019-2020

Code Course name ECTS Period
3621688 Artificial Intelligence 6 1
3621511 Design and Analysis of Algorithms 6 1
3621655 Industrial Project 5 1
3621691 Learning Analytics 5 1  
3621690 Visual Web Development 5 1
       
3621689 Algorithmic Data Analysis 5 2
3621675 Deep Learning 5 2
3621547 Location-aware mobile applications development 5 2
       
xxxxxxx Designing Smart Learning Environments (NEW COURSE, info available soon) enlightened 5 3
3621698 Graph Mining 5 3
3621528 Parallel Computing 5 3
3621513 Research Methods in Computer Science 6 3
3621512 Software Engineering 6 3
       
3621687 Local Patterns in Data 5 4
3621517 Pattern Recognition 5 4
3621533 User-Centered Design 5 4
       
3621647 Advancet Topics in Algorithms 5 summer

 

** 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 (2019/2020)
3622351 Statistical Data Analysis 6 1
3312073 Applications of Photonics 4 2
3622352 Probabilistic Inference for Data Science I 5 2
3622353 Probabilistic Inference for Data Science II 5 3
3312062 Color Science 4 3
3622350 Analysis of Grouped Data 5 4
3312025 Display Technologies 5 4
3622323 Introduction to Statistical Inference 2 4 not lectured
3312031 Spectral Imaging Devices 5 not lectured 
3622347 Bayesian Inference 1 5 not lectured 
3622348 Bayesian Inference 2 4 not lectured 
3622349 Spatial Statstics (equals to Spatial Statistics 1) 5 not lectured 
3622328 Regression Analysis 1 4 not lectured 
3622329 Regression Analysis 2 4 not lectured 
3622342 Spatial Statistics 1 (equals to Spatial Statistics) 5 not lectured 
3622314 Linear Mixed-Effects Models 4 not lectured 
3622321 Introduction to Statistical Inference 1  5 not lectured 
3622346 Generalized Linear Models 5 not lectured 

 

 

OTHER ELECTIVE COURSES, 2019-2020

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 2019-2020.

BACHELOR LEVEL studies in computer science, statistics and physics    
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
3312069 Basics of Signal Processing 3 3            
3622233 Statistical Experimental Design 5 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.