$(30$pts$)$ At University $x,$ the late graduation rate is high meaning that most students cannot finish the $(30$pts$)$ At University $x,$ the late graduation rate is high meaning that most students cannot finish the

program within the designated timeline of the curriculum.

The reasons could be that

Students cannot pass courses after the first attempt,

Students did not register for courses in the designated semester,

Students intentionally lengthen the learning path by registering for fewer courses than the suggested

courses in the curriculum,

Or other reasons

Hence, people would like to analyze the learning progress of students to make early warnings to

students and the dean of the school regarding the potential late graduation problem. The data for the learning progress of students is grouped by enrolment batch.

Each batch has an enrolment year and a major i$.$e$.$ Batch $2020-$Computer Science, Batch $2021-$Data

Science, and Batch $2019-$Information Technology

Each batch has its curriculum including a list of courses students of the batch should take each

semester like the following table

Each batch has a summarized of grades of students by semester like the following table In the table above, row $2$ shows that $50$ students of $60$ students of batch $2020-$Computer Science

registered for $"\frac{C}{C}++$ Programming" in semester $1$ of $2020.$ And only $40$ of those $50$ students

passed the course.

Row $3$ shows that in semester $2$ of $2020,5$ students of batch $2020-$Computer Science registered for

$"$C$/$C$++$ Programming" and all those $5$ students passed the course.

Your tasks are to design chart$($s$)$ to analyze the leaming progress of students and highlight potential

late graduation rate

a$.(10$pts$)$ State the problem described above in terms of abstract tasks in visualization

b$.(10$pts$)$ What are the types of data? What are the marks and channels to use? Draw a sample

chart$($s$)$ to illustrate your design,

c$.(10$pts$)$ Explain and describe how your chart$($s$)$ could help people detect the potential high late

graduation rate of a batch.

program within the designated timeline of the curriculum.

The reasons could be that

Students cannot pass courses after the first attempt,

Students did not register for courses in the designated semester,

Students intentionally lengthen the learning path by registering for fewer courses than the suggested

courses in the curriculum,

Or other reasons

Hence, people would like to analyze the learning progress of students to make early warnings to

students and the dean of the school regarding the potential late graduation problem.