Reference no: EM132663103
DSAA204 Data Structure and Algorithms - Kent Institute
Content Analysis (Reflective Journal)
Learning Outcome 1: Evaluate the efficiency and effectiveness of data structures and algorithms.
Learning Outcome 2: Demonstrate reasoning about efficiency of algorithms.
Learning Outcome 3: Assess and apply suitable recursive data structures and algorithms to IT systems and applications.
Students are required to analyse the weekly lecture material of weeks 1 to 11 and create concise content analysis summaries of the theoretical concepts contained in the course lecture slides.
Where the lab content or information contained in technical articles from the Internet or books helps to fully describe the lecture slide content, discussion of such theoretical articles or discussion of the lab material should be included in the content analysis.
The document structure is as follows (2500 Words):
1. Title Page
2. Introduction and Background (150 words)
3. Content analysis (reflective journals) for each week from 1 to 11 (2300 words; around 210 words per week):
a. Theoretical Discussion
i. Topics Covered
ii. Definitions and/or basic plans for Data Structure/Algorithm learnt in the lecture.
iii. Mathematical Analysis
b. Reflection on the Contents
i. Demonstrate understanding of the data structure/algorithm learnt in the lecture by applying it on one of your own examples.
c. Outcome
i. What was the most important concept learnt?
ii. How that concept (data structure/ algorithm) improves your knowledge in relation the concepts learnt in the earlier lectures.
4. Conclusion (50 words)
Your report must include:
• At least five references, out of which, three references must be from academic resources.
• Harvard Australian referencing for any sources you use.
• Refer to the Academic Learning Skills student guide on Referencing.
Attachment:- Data Structure and Algorithms.rar