The course aims at giving the students a solid understanding of mathematical modeling approaches, analytical tools and techniques that are useful in the design and planning of logistics and transportation systems. The topics include logistics network design, facility location and allocation, long- and short-haul transportation, vehicle routing and scheduling problems as well as issues related to sustainable mobility. We will discuss the theory, application methods, and techniques that are needed to successfully model, analyze, and solve these problems. We will develop and employ both exact and approximate methods to solve problems arising in logistics and transportation systems, and implement computerized applications. The course is designed for graduate students who have a solid background in mathematical programming and are proficient in coding.