Omfattning: 6

Tidtabel: 04.01.2018 - 14.02.2018

Ansvarslärare (är i kraft 01.08.2018-31.07.2020): 

Pekka Malo

Undervisningsperiod (är i kraft 01.08.2018-31.07.2020): 

III Spring (2018-2019) Otaniemi campus

III Spring (2019-2020) Otaniemi campus

Lärandemål (är i kraft 01.08.2018-31.07.2020): 

After completing the course, students will understand the basic principles of predictive modeling and gain experience in using data analytic tools that are widely used in companies.

Innehåll (är i kraft 01.08.2018-31.07.2020): 

Fundamental concepts in predictive analytics, classification and association mining, model evaluation, use of programming (e.g., python or R), visiting lectures, project work.

Metoder, arbetssätt och bedömningsgrunder (är i kraft 01.08.2018-31.07.2020): 

Course project 40%, Class activity 30%, Exam 30%.

Arbetsmängd (är i kraft 01.08.2018-31.07.2020): 

Contact teaching 50 h, Independent work 107 h, Exam 3 h.

Studiematerial (är i kraft 01.08.2018-31.07.2020): 

To be defined in the course syllabus.

Kursens webbplats (är i kraft 01.08.2018-31.07.2020): 

https://mycourses.aalto.fi/course/search.php?search=30E03000

Förkunskaper (är i kraft 01.08.2018-31.07.2020): 

Prior knowledge in programming is required, at least Programming I (37C00400) or equivalent knowledge. Working knowledge of statistics and linear algebra is also required. Programming II (37C00450) and Data Resources Management (37E01600) are highly recommended as prior courses.

Bedömningsskala (är i kraft 01.08.2018-31.07.2020): 

0-5

Anmälning (är i kraft 01.08.2018-31.07.2020): 

Via WebOodi

Tilläggsinformation (är i kraft 01.08.2018-31.07.2020): 

Maximum number of students accepted is 50.

Students are prioritized in the following order:
1. Aalto ISM MSc students whose specialization area is Business Analytics
2. Aalto Analytics and Data Science minor students & Students in Master's Programme in in ICT Innovation (EIT digital)
3. Other Aalto MSc students

Beskrivning