Отзывы о курсах Skoltech
Начался новый терм, а ты не знаешь какие курсы приятней и полезней, тогда посмотри мою таблицу
Как посмотреть отзывы
Что за таблица такая
Постаралась ответить на все самые часто задаваемые вопросы :)
Студент:
Ответы на какие вопросы я найду в таблице?
Наташа:
- How do you evaluate this course?
- The difficulty of the course:
- How useful this course?
- Attendance control?
- How many assignments?
- How difficult are assignments?
- Format of the exam?
- Pleasantness (ease) of the lecturer?
- Quality of teaching
- How easy to get "A"?
- Required level of prior knowledge
- Your additional comments:
Студент:
Что значат цифры в таблице?
Наташа:
0 - все плохо/ бесполезно/ просто
10 - все круто/ полезно/ сложно
10 - все круто/ полезно/ сложно
Студент:
На какие курсы сейчас я найду там отзывы?
Наташа:
Этот список постоянно пополняется, сейчас вот эти:
Applied Materials and Design; Energy conversion systems optimal management and integration; Essential Engineering Toolbox; Heterogeneous Volume Modeling and Digital Fabrication; Introduction to Artificial Intelligence; Introduction to Blockchain; Introduction to Data Science; Introduction to IoT; Introduction to Plant Biology; Introduction to Programming for Biologists; Machine Learning in Chemoinformatics; Mathematics for Engineers; Physics of Colloids and Interfaces; Topics in Neurobiology Seminar; Advanced PLM techniques: Product Prototyping; Advanced PLM techniques: Testing and Models Validation (Term 5-6); Basic Molecular BiologyTechniques; Bioinformatics; Biostatistics; Control Systems Engineering; Data Analysis for Space Weather; Deep Learning; Digital Signal Processing; Efficient Algorithms and Data Structures; Energy Systems; Physics and Engineering; Evolutionary, Population and Medical Genomics; Experimental Data Processing; Functional Methods in the Theory of Disordered Systems (Term 3-4); Fundamentals of Power Systems; Fundamentals of Remote Sensing; Geometric Modeling; High Performance Computing and Modern Architectures; ImmunologyMachine Learning; Mathematical Modeling in Biology; Non-Equilibrium Processes in Energy Conversion; Numerical Linear Algebra; Optimization Methods; Perception in Robotics8 Power Electronics; Power Markets and Regulations; Robotics; Sensors and Embedded Systems for IoT; Smart Grids; Statistical Mechanics and Kinetics (Term 1-2); Stochastic Methods in Mathematical Modeling; Structure and Properties of Materials; Systems Engineering; Virology; Biomedical Innovation and Entrepreneurship (Dmitry Kulish) 3cr.; Entrepreneurial Strategy (Alexander Chekanov) 3cr.; Ideas to Impact: Foundations for Commercializing Technological Advances (Zeljko Tekic) 6cr.; Leadership for Innovators (Maxim Kiselev) 3cr.; Startup Workshop (Alexey Nikolaev, Dmitry Kulish) 3cr.; Technology Entrepreneurship: Advanced (Alexey Nikolaev) 3cr.; Technology Entrepreneurship: Foundation (Alexey Nikolaev, Dmitry Kulish) 6cr.; Renewable Energy; Fabrication Technology of Nanodevices; Foundations of Software Engineering; Experimental Optics; Introduction to Wireless Communication; Computational Imaging; Introduction to Life Sciences program; Soft Condensed Matter; Models of Sequential Data; Scientific Computing
Applied Materials and Design; Energy conversion systems optimal management and integration; Essential Engineering Toolbox; Heterogeneous Volume Modeling and Digital Fabrication; Introduction to Artificial Intelligence; Introduction to Blockchain; Introduction to Data Science; Introduction to IoT; Introduction to Plant Biology; Introduction to Programming for Biologists; Machine Learning in Chemoinformatics; Mathematics for Engineers; Physics of Colloids and Interfaces; Topics in Neurobiology Seminar; Advanced PLM techniques: Product Prototyping; Advanced PLM techniques: Testing and Models Validation (Term 5-6); Basic Molecular BiologyTechniques; Bioinformatics; Biostatistics; Control Systems Engineering; Data Analysis for Space Weather; Deep Learning; Digital Signal Processing; Efficient Algorithms and Data Structures; Energy Systems; Physics and Engineering; Evolutionary, Population and Medical Genomics; Experimental Data Processing; Functional Methods in the Theory of Disordered Systems (Term 3-4); Fundamentals of Power Systems; Fundamentals of Remote Sensing; Geometric Modeling; High Performance Computing and Modern Architectures; ImmunologyMachine Learning; Mathematical Modeling in Biology; Non-Equilibrium Processes in Energy Conversion; Numerical Linear Algebra; Optimization Methods; Perception in Robotics8 Power Electronics; Power Markets and Regulations; Robotics; Sensors and Embedded Systems for IoT; Smart Grids; Statistical Mechanics and Kinetics (Term 1-2); Stochastic Methods in Mathematical Modeling; Structure and Properties of Materials; Systems Engineering; Virology; Biomedical Innovation and Entrepreneurship (Dmitry Kulish) 3cr.; Entrepreneurial Strategy (Alexander Chekanov) 3cr.; Ideas to Impact: Foundations for Commercializing Technological Advances (Zeljko Tekic) 6cr.; Leadership for Innovators (Maxim Kiselev) 3cr.; Startup Workshop (Alexey Nikolaev, Dmitry Kulish) 3cr.; Technology Entrepreneurship: Advanced (Alexey Nikolaev) 3cr.; Technology Entrepreneurship: Foundation (Alexey Nikolaev, Dmitry Kulish) 6cr.; Renewable Energy; Fabrication Technology of Nanodevices; Foundations of Software Engineering; Experimental Optics; Introduction to Wireless Communication; Computational Imaging; Introduction to Life Sciences program; Soft Condensed Matter; Models of Sequential Data; Scientific Computing
