Syllabus

Title
2345 Analytical Problem Solving
Instructors
Filipe Sengo Furtado, Ph.D.
Type
PI
Weekly hours
2
Language of instruction
Englisch
Registration
09/14/22 to 09/18/22
Registration via LPIS
Notes to the course
This class is only offered in winter semesters.
Dates
Day Date Time Room
Monday 10/03/22 03:00 PM - 04:30 PM D2.0.392
Monday 10/10/22 03:00 PM - 06:00 PM D2.0.392
Monday 10/17/22 03:00 PM - 06:00 PM D2.0.392
Monday 10/24/22 03:00 PM - 06:00 PM D2.0.392
Monday 11/07/22 03:00 PM - 06:00 PM D2.0.392
Monday 11/21/22 03:00 PM - 06:00 PM D2.0.392
Monday 11/28/22 03:00 PM - 06:00 PM D2.0.392
Monday 12/12/22 03:00 PM - 06:00 PM D2.0.392

Contents

The course will focus on challenges that students should solve and present during the sessions. These challenges will consist of different problems that can be solved with the aid of basic programming skills and/or mathematical skills. There will be multiple solutions to each problem and it is up to the students to find the most creative solutions. There will also be a strong emphasis on presenting those solutions.

Students will work in different groups for every project.

The problems may not be directly related to marketing, but they are transferrable to challenges students may face in their future careers.

The main goal of the course is skill development, not knowledge transfer.

Learning outcomes

The main purpose of the course is to develop the students' problem-solving skills, by focusing on both hard and soft skills. On one hand, students will develop their R/programming skills and perhaps MS excel. On the other hand, they will develop their team working, leadership, and presentation skills.

Attendance requirements

Students must attend at least 70% of the time.

Teaching/learning method(s)

Every session will consist of a different challenge that must be solved and/or discussed in class.

Assessment

Grading will be based on a ranking approach. For each and every component, the best student(s) will be awarded full points and the remaining students will be graded in proportion to their performance in comparison to the best student. Grading will be based on the components listed below. 

Students are required to turn in assignments following the instructions and on time. Failures to comply with the instructions will automatically result in a 100% penalty. In addition, delays will result in a 10 percentual points penalty for each minute (i.e. 10% if the assignment is delayed for less than a minute, 20% if the assignment is delayed for less than 2 minutes, etc.).

Challenges: 7 x 11%

There will be 7 challenges in total, each worth 11%. For each challenge, you will be graded based on a) how you present your solution (5%) and b) the quality of your solution (6%).

Grading of the other groups' solutions: 7 x 3%

You will be asked to grade the other solutions. You get the points assigned to each task by by submitting your evaluations according to the instructions.

Read the syllabus: 2%

To show that you have read the syllabus prior to the course, send an email to your instructor before the first session stating your favorite animal. 

 

Recommended previous knowledge and skills

Students should feel comfortable with R, Python, or an equivalent language. Excel may be useful.

Last edited: 2022-08-30



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