teaching

Workshops, tutoring, and thesis mentoring

CVIS Hands‑On Training: Practical Machine Learning & Computer Vision

Location: BRAC University (CVIS Lab)  |  Instructor: Anika Tahsin
Pre‑requisites: Comfortable with Python; basic linear algebra and probability helpful

Course Description

A practitioner‑oriented workshop on building end‑to‑end ML/CV/LLM pipelines. Students learn dataset creation and curation, exploratory data analysis, visualization, image preprocessing, and modern deep learning for object detection and segmentation. Emphasis is placed on reproducible workflows, evaluation, and error analysis.


Research Guidelines & Thesis Mentoring (Undergraduate)

Audience: Final‑year students beginning or refining their thesis in AI/ML/CV

Mentoring Scope

  • Problem Formulation: Narrowing research questions; constructing baselines and ablations
  • Data & Ethics: Dataset documentation, licensing, bias assessment, and IRB‑style considerations
  • Methodology: Reproducible pipelines (code structure, configs, seeds), evaluation metrics, and reporting standards
  • Writing: Storyboarding papers, drafting figures, and preparing rebuttals
  • Open‑Source Practice: Clean READMEs, environment files, model cards, and result logs

Resources: Template for project structure, LaTeX paper skeleton, and result‑logging worksheets can be shared on request.


Undergraduate Tutor (BRAC University)

Courses:

  • MAT 110 — MATH I: Differential Calculus & Co‑ordinate Geometry
  • PHY 111 — Principles of Physics I

Role & Focus

  • Held problem‑solving sessions, clarified core concepts, and designed short practice sets.
  • Emphasized intuition, step‑by‑step derivations, and exam‑style reasoning.
  • Provided individualized study plans and quick diagnostic checks.

Common Topics Covered

  • MAT 110: Limits, continuity, derivatives, optimization, curve sketching, coordinate geometry
  • PHY 111: Kinematics, Newtonian mechanics, work–energy, momentum, rotational dynamics, basic oscillations

Assessment Support

  • Weekly problem clinics, review sheets, and past‑paper walkthroughs.

Contact

For workshop enrollment, tutoring queries, or thesis mentoring: