IND310 Operational optimization
Showing course contents for the educational year 2022 - 2023 .
Course responsible: Tor Kristian Stevik
Teachers: Jan Ola Strandhagen, Jesper Frausig, Habib Ullah
ECTS credits: 10
Faculty: Faculty of Science and Technology
Teaching language: EN, NO
Teaching exam periods:
This course has teaching/evaluation in Autumn parallell.
Course frequency: Annually
First time: Study year 2021-2022
The approach of the course is twofold. Part one is a preparatory course for a masters, where methodology and master's writing are taught, as well as a preliminary project for the master's thesis. Part two includes production and operational optimization using computer science. Optimization deals amongst other things with design and develop. of systems, method overview, process analysis, conceptual analysis and management models, economic models and mathematical models, simulation, and improvement methodology
Students must have a good understanding of methods, as well as an understanding of how to write a master's thesis.
Students must have a basic understanding and knowledge of operations. Once the course has been completed, students should be able to manage operations, analyze, plan and optimize processes. Emphasis will be placed on giving students knowledge about specific tools. It is a clear goal of the students to gain a practical insight into the topics covered in the course.
After completing the course
Our focus is the approach to digital decision support. IND310 will look at different contexts from the 5 sectors from the Industry Classification Benchmark (ICB): Health, Financial, Industry, Energy, Aqualtur
In order to make good decisions when working with data, we will first learn the approach to digital operations management through CRISP-DM methodology: 1. Business understanding, 2. Data understanding 3. Data preparation 4. Modeling
Both ordinary lectures and seminars will be used. The students will complete several assignments throughout the semester, as well as a presentation of a topic to the class. The students must develop a concrete analysis of a company or case, based on one or more company visits, and present in the form of an proposals for improvement. Tasks are carried out as group work to train communication, collaboration and leadership. The student will attend in presentasjoner where people from the private and public sector present various topics that are relevant to the course. In our work, we use project-based learning, and the student will work in groups on a selected case.
Written assignments are followed up with individual guidance, where time and time are agreed with the lecturer as needed.
Curriculum list is handed out at the start of the course
NF100 / INF120 or equivalent
Participation in excursions / company visits and professional seminars, submission of semester and case assignments, as well as exercises
Mandatory two assignments are considered passed / failed.
The grade in the course is set on the basis of the semester assignment. Letter grades (A-F).
Expected workload for 10 credits is 250 hours.
Minimum requirements for entrance to higher education in Norway (generell studiekompetanse)
Type of course:
Two lecture hours x two days + one practice hour
Examination details: Term paper: Letter grades