Mbzuai Entry Exam Sample Questions Best -
CV questions at MBZUAI are heavy on convolution theory and image formation.
Sample Question 7 (Convolution): Given a 5x5 grayscale image and a 3x3 kernel. If you use a stride of 2 and no padding, what is the dimension of the output feature map? a) 3x3 b) 2x2 c) 5x5 d) 4x4
Formula: ( \fracN - FS + 1 = \frac5 - 32 + 1 = 1 + 1 = 2 ). Answer: (b) 2x2.
Sample Question 8 (Camera Geometry): The pinhole camera model maps a 3D point ( (X, Y, Z) ) to a 2D image point ( (x, y) ). Assuming focal length ( f = 1 ), what is the correct projection? a) ( x = X/Z, y = Y/Z ) b) ( x = Z/X, y = Z/Y ) c) ( x = fX, y = fY ) d) ( x = XZ, y = YZ ) mbzuai entry exam sample questions best
Answer: (a). This is the fundamental perspective projection. MBZUAI considers this a "gimme" question. If you miss it, you fail the CV section.
Probability & statistics
Discrete math & logic
Algorithms & programming (pseudo-code acceptable)
Machine learning fundamentals
Short answer / reasoning
Simply reading the solutions will guarantee failure. Follow this 4-week protocol:
Week 1 – Diagnosis: Attempt all sample questions above with a timer (90 minutes). No notes, no Google. Grade honestly. If you score below 60%, delay your application.
Week 2 – Math Drills: For every linear algebra question, derive the proof twice – once forward, once backward. For probability, simulate the Bayes question in Python to build intuition. CV questions at MBZUAI are heavy on convolution
Week 3 – Coding Without Autocomplete: Re-do the Python questions in a plain text editor (not VS Code with IntelliSense). MBZUAI’s proctored environment is often a stripped-down Jupyter notebook with no syntax highlighting.
Week 4 – Mock Exams: Combine 4 math questions + 4 coding questions + 2 conceptual questions. Set a timer. Grade strictly. Repeat until you consistently score >85%.