DS415
Capstone Project Bootcamp 2.0
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
The main goal of this course is to finalise the capstone projects in preparation for the upcoming defence. It is focused on refining capstone results, performing peer reviews, and practising presentations. The bootcamp will provide practical tools and strategies for presenting, discussing, and planning further work on research and applied projects. This ensures that students complete their projects on time and achieve the best results possible.
This course will feature a blend of workshops and presentations, with the addition of several lectures to guide and motivate students. This bootcamp does not focus on programming but offers valuable insights into project management and research methodologies pertinent across various academic disciplines.
Learning highlights
- Refining a selected research or applied project for presentation.
- Establishing productive discussions with classmates, advisors, and opponents, and effectively utilising their expertise.
- Building skills in project management, time management, and critical thinking to finalise the capstone process efficiently.
- Presenting the capstone project results and applying the necessary updates.
Course outline
15 classes
Session 1
Course intro;
One minute capstone presentation and discussion;
Session 2
Project refinements and discussion.
Session 3
Self-work on projects.
Session 4
Self-work on projects.
Session 5
Intermediate presentations and peer review.
Session 6
Presentation skills and tracking the audience.
Session 7
Self-work on projects.
Session 8
Self-work on projects.
Session 9
Present a draft of your capstone;
Review other students' results.
Session 10
Intermediate presentations and peer review.
Session 11
Data visualisation techniques.
Session 12
Building a demo for an effective presentation.
Session 13
Hints on presentation skills.
Session 14
Presentations and discussion.
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. A good example of what you should be able to do: https://gitlab.erc.monash.edu.au/andrease/Python4Maths/tree/master
Knowledge of linear algebra / probability theory / statistics.
Machine Learning basic knowledge. Master’s Machine Learning course or equivalent:
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 and discussion
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 2.0
by Radoslav Neychev
Total hours
45 Hours
Dates
Jul 08 - Jul 26, 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.