Final Exam - Term II
large Faculty of Computers and AI - Pre-Master
Date: Sun. June 19, 2022
textbfTotal Marks: 60
Answer ALL Questions
Section (A): Multiple Choice Questions (12 Marks: 2
marks each)
1. Why do experiments in research? Answer: c. ALL OF THE ABOVE Reference:
Lecture 2, Slide 11
2. Which one of the following is NOT research?
Answer: b. Developing code
Reference: Lecture 1, Slide 10
3. Research is not just coming up with a problem and solving it, but:
Answer: b. devising methodologies for the problem solution
Reference: Lecture 1, Slide 9
4. What makes a presentation strong?
Answer: c. A presentation must contain evidence to support speaker’s assertions
Reference: Lecture 4, Slide 23
5. What do you do when selecting your Master/PhD topic?
Answer: b. Focus first on breadth of knowledge; depth comes later
Reference: Lecture 1, Slide 26
6. We must put a space every comma in a sentence when writing a research paper.
Answer: c. after
Reference: Lecture 1, Slide 3 (Writing style section)
Section (B): Short Answer Questions (48 Marks: 6
Marks each)
1. What are the typical constituents of a research paper? A research paper
typically includes:
1
• Abstract
• Introduction
• Related Work
• Problem Definition
• Methodology
• Experimental Evaluation
• Results and Discussion
• Conclusion and Future Work
• References
Reference: Lecture 1, Slide 8 and 31
2. Briefly discuss the three-pass approach for reading papers.
Pass 1: Quick scan to decide if the paper is worth reading.
Pass 2: More careful reading to grasp the content and main contributions.
Pass 3: Detailed reading to deeply understand the methodology, re-derive results,
and find open questions.
Reference: Lecture 1, Slides 30–34
3. Briefly discuss the relationship between citations and impact factors for
a Journal.
The impact factor of a journal is calculated based on the average number of citations
received per paper published in the journal during a specific period. Higher citation
counts generally contribute to a higher impact factor, indicating broader recognition
and influence of the journal.
Reference: Lecture 1, Slide 6 (Unit 6 overview)
4. What should be done to show that your solution to a problem is per-
forming better than others according to some measure?
Appropriate experimental evaluation should be performed using standard bench-
marks and baselines. Relevant metrics (e.g., accuracy, runtime) should be chosen,
and statistical significance should be considered to validate superiority.
Reference: Lecture 2, Slides 41–44
5. Define a research plan, and briefly discuss the main contents that a
project plan must have.
A research plan is a structured narrative describing what the research is about, why
it’s important, and how it will be conducted. A project plan includes:
• Clear research questions and goals
• Literature review
• Methodology
• Timeline (Gantt chart)
• Risk analysis and contingency plans
Reference: Lecture 3, Slides 2–4, 30
2
6. What is a scientific presentation? Give 4 benefits of presenting your
scientific work.
A scientific presentation is a structured delivery of research findings to an audience.
Benefits include:
• Receiving feedback and suggestions
• Increasing visibility and recognition
• Practicing communication skills
• Identifying collaboration opportunities
Reference: Lecture 4, Slides 2–4, 23
7. Consider you will present a research topic in front of audiences of dif-
ferent technical levels, briefly discuss what do you need to target all the
audiences and be succeeded.
Use simple analogies and clear visuals to explain concepts, structure the presenta-
tion with gradual depth, provide background information, and engage both novices
and experts. Tailor examples and emphasize the practical significance of your work.
Reference: Lecture 4, Slide 7 and 27
8. Select any computer-related topic, then write a paragraph consists of 6
sentences or more that introduces this topic.
Artificial Intelligence (AI) is transforming the world: it enables machines to mimic
human intelligence. Applications include healthcare, finance, education, and au-
tonomous vehicles; these fields benefit greatly from AI. For example, AI-driven
diagnostics can detect diseases early; thus, saving lives. ”Machine Learning”, a
branch of AI, allows systems to learn from data and improve over time. However,
challenges remain: ethical concerns, data privacy, and bias must be addressed. In
summary, AI promises a revolution; yet, it requires responsible development.
Reference: Lecture 3, Slide on writing style and punctuation usage
