You are here

Tools for Analysing and Forecasting

Tools for Analysing and Forecasting

Code: MET2HY202
Scope: 5 ECTS (135 h)
Timing: 1st – 4th semester
Language: English
Curriculum: Master Curriculum
Course level: Advanced Professional Studies, Master
Course type: Compulsory

Starting level and linkage with other courses
No prerequisites.

Learning objectives and assessment

Grade 1
The student has been involved in team work, contributed to the final report with sufficient contents for decision making in form of operational environment analyses and forecasting study together with his/her other team members.

Grade 3
The student has been involved actively in team work, contributed to the final report with good contents for decision making in form of operational environment analyses and forecasting study together with his/her other team members.

Grade 5
The student has been involved actively and professionally in team work, contributed to the final report with excellent contents for decision making in form of operational environment analyses and forecasting study together with his/her other team members.

Passed courses are assessed on a scale of 1 to 5. The assessment criteria are presented for grades 1 - 3 - 5.

Recognition of prior learning (RPL)
If students have acquired the required competence in previous work tasks, recreational activities or on another course, they can show the competence with a demonstration and progress faster through their studies. More information and instructions for recognising and validating prior learning (RPL) are available at MyNet.

Working life connections
The course is linked to the Master student’s own work experience and thesis plan. Guest lecturers could be invited from businesses.

Internationality
International students and sources/materials.

Contents

Topics to be covered in the course include:

  • Forecasting as approach, focal concepts and trends, and planning, execution and assessment of anticipation study (i.e. trend analysis and recognition of weak signals).
  • Analysis of operational environment as approach. Analysis, assessment and interpretation of studies based on statistical and quantitative data.
  • Big Data as possibility to develop business
  • Exploitation of research and forecasting data in decision making
  • Business simulations and analytics with modern tools including SAP BI/BO, Power BI and Hadoop

Learning methods
Depending on the implementation. Learning takes place in contact lessons, independent studies, teamwork and online-studies. Assessment of one’s own learning on E-form.

Assessment
Depending on the implementation.

Course teacher(s)
Jarmo Ritalahti, Porvoo/Pasila
Veijo Vänttinen, Porvoo/Pasila