IND310 Operational optimization
Credits (ECTS):10
Course responsible:Habib Ullah
Campus / Online:Taught campus Ås
Teaching language:Engelsk, norsk
Course frequency:Annually
Nominal workload:Expected workload for 10 credits is 250 hours.
Teaching and exam period:This course has teaching/evaluation in Autumn parallell.
About this course
The main course is two-part. Part one covers operational optimization using data science. Optimization deals with e.g. context understanding, method overview, process analyses, data information, models and simulation.
Part two is about master's preparations, where methodology and master's writing are taught, as well as the submission of a preliminary project for the master's thesis
Learning outcome
Students must have a good understanding of methods, as well as an understanding of how to write a master's thesis. When the course has been completed, students should be able to manage operations, analyze and optimize processes. Emphasis will be placed on giving students knowledge about specific tools. There is a clear objective for the students to gain a practical insight into the topics covered in the course.
After completing the course
Our approach is digital decision support. IND310 will look at different contexts from the 5 sectors from the Industry Classification Benchmark (ICB): Health, Financial, Industry, Energy, Aquaculture. In order to make good decisions when working with data, we will first learn the approach to digital operations management through the CRISP-DM methodology: 1. Business understanding, 2. Data understanding 3. Data preparation 4. Modeling
- Both ordinary lectures and seminars will be used. The students must complete several submissions throughout the semester, as well as present a topic to the class. The students must carry out a concrete analysis of a case and present in the form of a proposal for improvement. Tasks are carried out as group work to practice communication, cooperation and leadership. The student must attend lectures, where people from the private and public sector present various topics that are relevant to the course.
- Student groups can get access to guidance in lessons, dedicated lessons for group work as well as feedback on written part-submission.
- IND210, NF100 / INF120 or equivalent
- The grade in the course is set on the basis of the term paper. Letter grades (A-F).
Term paper Grading: Letter grades - Participation in lectures and seminars, submission of preliminary study for term papers, preliminary project for the master's thesis, as well as exercises and presentations.
- 6 hours of lecture/seminar each week. Attendance is expected at lectures and seminars.
- Minimum requirements for entrance is SIVING (Engineering study competence)