Industrial Engineering & Management
Business Information Technology
This course covers the following areas of probability theory: axiomatic foundations, random variables, distributions, and densities; expectations; introduces both discrete and continuous families of distributions; multiple random variables: joint and marginal distributions, properties of random samples: convergence, sampling from normal distribution, Central Limit Theorem and all other relevant topics for the exam on Probability Theory.
- Combinatorial Probability
- Conditional probability & independence
- Discrete random variables
- Discrete variables
- 2 Nov at 18:00 – 20:00 Experiment, sample space
- 3 Nov at 18:00 – 20:00 Conditional probability
- 4 Nov at 18:00 – 20:00 Combinatorial Probability
- 5 Nov at 13:00 – 15:00 Discrete Probability
- 6 Nov at 13:00 – 15:00 Sample exam
Ahmed is a TA at the faculty of Applied Mathematics at the University of Twente, with an engineering background. He has a lot of teaching skills and enjoys helping students through courses using different teaching methods.
Alexey is a technical student with an engineering background and remarkable academic achievements. Being alongside a TA in the maths line of the University of Twente, he is going to arrange effective and resultant exams preparation at MathMe.
Being a student simultaneously in Applied Mathematics, Computer Science, and Honours program in Mathematics is saying a lot about Serge's studying capabilities. Additionally, his eminent results at the educational level are another proof of his intelligence and learning objectives. Thus, the combination of his knowledge and huge experience in studying assures an appealing performance for the role of the course trainer.