Course Catalog 2014-2015
Postgraduate

Basic Pori International Postgraduate Open University

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Course Catalog 2014-2015

ASE-8016 Advanced Topics in Automation Science and Engineering , 1-10 cr

Additional information

Suitable for postgraduate studies

Person responsible

Jukka Lekkala

Lessons

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


 


 


 
ASE-8016 2014-01  
Lectures
Excercises


 
 8 h/per
 8 h/week


 


 


 
ASE-8016 2014-02 Thursday 13 - 15 , Sc105a

Requirements

Seminar or exam.
Completion parts must belong to the same implementation

Learning Outcomes

The student will develop his/her scientific competence by deepening his/her knowledge in postgraduate topics in automation science and engineering. The student will develop his/her oral presentation and writing skills.

Content

Content Core content Complementary knowledge Specialist knowledge
1. Reading up on postgraduate topics in automation science and engineering either independently or in seminars.  Oral presentation. Scientific reporting.   

Prerequisite relations (Requires logging in to POP)



Correspondence of content

Course Corresponds course  Description 
ASE-8016 Advanced Topics in Automation Science and Engineering , 1-10 cr ASE-8016 Advanced Topics in Automation Science and Engineering , 1-10 cr  
ASE-8016 Advanced Topics in Automation Science and Engineering , 1-10 cr ASE-8010 Advanced Topics in Automation Science and Engineering, 1-10 cr  

More precise information per implementation

Implementation Description Methods of instruction Implementation
ASE-8016 2014-01 Intelligent vehicles: a MOOC with TUT supervision. MOOC (Massive open online course) provided by Udacity https://www.udacity.com/course/cs373        
ASE-8016 2014-02 Bayesian data analysis [2 credits]. This short course is an introduction to the use of Matlab/JAGS software for statistical modelling of engineering systems data. The textbook is Kelly & Smith (2011): Bayesian Inference for Probabilistic Risk Assessment, A Practitioner's Guidebook (available on-line). Topics include: inference and prediction for lifetime/duration and count data, model checking, regression, missing data. Pass requirement: presentation of computer modelling homework solutions at 4 exercise sessions. Grade is pass/fail.        

Last modified03.07.2015