Prepare a chart showing the process of digestion of food, absorption and transportation of nutrients.

Prepare a pictorial chart of the disorders caused by the excess or deficiency of one macro and one micronutrient.

Do an assessment of your own dietary pattern for a single day and compare it with the reference balanced diet.

Select any five packed food products of your choice and list down their nutritional facts.

Visit a local market, identify any 10 functional foods and note down their nutritional value.

Prepare a chart depicting the Food Pyramid.

Classify food based on perishability. Identify any two intrinsic and two extrinsic factors affecting the spoilage of food. Describe the changes in foods caused by spoilage microorganisms.

What are food attributes? Give the role of the five senses in sensory evaluation. Identify the factors that influence the texture of food. How will you maintain the keeping quality of food?

Draw the human digestive system and label its parts. Give the functions of any five organs in the digestive system. Describe the process of absorption and transportation of fats in the human body.

Give the classification of common food groups. Describe any two food groups in detail with suitable examples.

Define Food. Differentiate between the Food Chain and Food Web with the help of illustration(s). Explain the functions of food in detail.

Explain Bayes classifier with the help of a suitable example. Also discuss its properties.

Explain agglomerative hierarchical clustering and its types with the help of a suitable example.

Perform partitional clustering using Frogy’s method for the data given in the table below with k-2 (two clusters). Use first two sample points (3,3) and (6,8) as seed points.

Explain K-means clustering methods with the help of a suitable example. Also, discuss the advantages and disadvantages of k -means clustering methods.

What is camera calibration? Explain how it helps to estimate the intrinsic and extrinsic parameters of a camera.

Explain epipolar geometry with the help of a suitable diagram in stereo vision system.

Explain optical flow, in context of motion perception in computer vision.

Transform the RGB cube by its CMY cube. Label all the vertices. Also, interpret the colours at the edges with respect to saturation.

Explain Mean Filters, and Median Filter with the help of a suitable example for each.