DS406
Capstone Project Bootcamp
Faculty
Radoslav Neychev
Harbour.Space AI Track Director, Girafe-ai founder
Course length
Duration
Total hours
Credits
Language
Course type
Fee for single course
Fee for degree students
Skills you’ll learn
Overview
This training course focuses on setting up the process of working on the capstone project. It is designed to kick-start the students' journey into their capstone projects by guiding them through the critical initial steps of topic selection, advisor alignment, and the establishment of clear goals and success criteria. It will navigate through the process of turning a vague idea into a well-defined research plan. The bootcamp will provide practical tools and strategies for research planning and execution, ensuring that students embark on their theses with confidence and a clear direction.
Similar to the hands-on approach of our Master's Machine Learning course, this course will feature a blend of lectures and workshops, allowing for immediate application of learned concepts. While this bootcamp does not focus on programming, it will offer valuable insights into project management and research methodologies pertinent across various academic disciplines.
Learning highlights
- Identifying and refining a compelling research topic that aligns with personal and academic objectives
- Establishing a productive working relationship with an advisor and effectively utilising their expertise
- Developing clear, achievable goals and success criteria to guide the research project
- Understanding the nuances of research methodology and design to create a robust research plan
- Building skills in project management, time management, and critical thinking to navigate the capstone process efficiently
- Formulating a detailed research proposal ready for implementation
Course outline
15 classes
Session 1
Introduction Set the toolbox
Session 2
Select your project and present it
Session 3
State your problem
Session 4
Plan the practical steps
Session 5
Intermediate presentations and peer review
Session 6
Visualise the principle
Session 7
Write the text
Session 8
Analyse the errors
Session 9
Construct a draft of your paper, Review other students' papers
Session 10
Intermediate presentations and peer review
Session 11
Refining the experimental setup
Session 12
Hints on maintaining the code base
Session 13
Hints on presentation skills
Session 14
Extra class
Session 15
Final presentation
Prerequisites
Experience with Python.: You do not need to be a developer, but you need to be able to write without googling every line
Knowledge of linear algebra / probability theory / statistics.
Machine Learning basic knowledge
Methodology
The course will be organised into three-hour sessions and self-study assignments. Sessions will contain both theoretical and practical parts, with a greater focus on practice.
Grading
Radoslav Neychev is a data scientist with focus on Deep Learning and Reinforcement Learning techniques. He has worked on variety of research (CERN LHCb, MIPT Machine Intelligence Lab, CC RAS) and industrial projects (Yandex, RaiffeisenBank) in different domains vary from particle identification problem to fraudulent transactions detection.
Radoslav graduated from Moscow Institute of Physics and Technology, majoring in Applied Mathematics and Machine Learning. Radoslav is reading lectures and organising practical classes at Russian top-tier universities, tech companies and summer schools.
See full profileApply for this course
Capstone Project Bootcamp
by Radoslav Neychev
Total hours
45 Hours
Dates
Feb 19 - Mar 08, 2024
Fee for single course
€1500
Fee for degree students
€750
How to secure your spot
Complete the form below to kickstart your application
Schedule your Harbour.Space interview
If successful, get ready to join us on campus
FAQ
Will I receive a certificate after completion?
Yes. Upon completion of the course, you will receive a certificate signed by the director of the program your course belonged to.
Do I need a visa?
This depends on your case. Please check with the Spanish or Thai consulate in your country of residence about visa requirements. We will do our part to provide you with the necessary documents, such as the Certificate of Enrollment.
Can I get a discount?
Yes. The easiest way to enroll in a course at a discounted price is to register for multiple courses. Registering for multiple courses will reduce the cost per individual course. Please ask the Admissions Office for more information about the other kinds of discounts we offer and what you can do to receive one.