Tutorial 1: DC CIRCUIT ANALYSIS UEEN1043 Object-Oriented Concept and Programming Techniques 2019 Assignment #1 In this assignment, you must demonstrate problem solving using top-down design and the...

Tutorial 1: DC CIRCUIT ANALYSIS
UEEN1043 Object-Oriented Concept and Programming Techniques 2019
Assignment #1
In this assignment, you must demonstrate problem solving using top-down design and the use of
methods of the built-in objects in Python, namely list and dict, to automatically schedule the
timetables for one batch of students from 3E, EC, and ET programmes at UTAR.
The outcomes of your solution are 14 timetables for each programme; i.e. a total of 42 CSV files
with each file describing a timetable for one week for a programme. The output files should be
named as [programme name]_[W#n].csv where programme name is either 3E, EC, ET while n
is the number between 1 to 14 representing different weeks of the trimester; e.g. 3E_W#3.csv is
the timetable of week #3 for 3E programme. The format of the CSV file is described in
timetable_example.csv. Each slot in the CSV file, except the header and row index, is eithe
empty or filled with the name of the course along with the classroom number being scheduled.
The input files are the course structure for three different programmes; i.e. course.3e, course.ec,
course.et. The input files include the number of students for the particular course structure, unit
code and name of the courses, and the number of hours for lectures and practicals; e.g. 14x3L
means that the unit takes 14 weeks to deliver with 3 hours each week; e.g. 2x3P means that the
unit includes 2 weeks of practicals with each practical taking 3 hours. Please note that some of
the courses do not have practicals. So, each row can have either 3 or 4 columns in the order of
unit code, unit name, lecture hours, and practical hours (optional).
Restrictions in the timetable scheduling with which you must comply in your solution:
1. Every 3-hour lecture in the course structure should be split into two sessions with one is
2-hour while the other one is 1-hour.
2. Every 2-hour lecture in the course structure should be a 2-hour session.
3. Two lecture sessions of the same course cannot be scheduled on the same day.
4. All lab sessions are scheduled 3 hours continuously.
5. Only one lab session can be scheduled in one day. A lab session can be scheduled on the
same day with a lecture session of the same course.
6. If the course requires two lab sessions throughout the trimester, the lab must be scheduled
on week 3 and 7 or week 4 and 8 (for alternate week).
7. If the course requires three lab sessions throughout the trimester, the lab must be
scheduled on week 3, 7 and 11 or week 4, 8 and 12 (for alternate week).
8. All the scheduling must not exceed the maximum pax allowed by the venues. Time
clashing is not allowed unless the students involved are totally not the same.
9. There are only three classrooms available for lectures; i.e.
a) KB XXXXXXXXXXpax),
) KB XXXXXXXXXXpax),
c) KB XXXXXXXXXXpax).
10. There are only three laboratories available for practicals; i.e.
a) KB XXXXXXXXXXpax, for UEEA3423 only)
) KB XXXXXXXXXXpax, for UEEA2663 only)
c) KB605 (30pax, for UEEA2283, UEET3573, UEEN3433 only)
UNIVERSITI TUNKU ABDUL RAHMAN page 1
UEEN1043 Object-Oriented Concept and Programming Techniques 2019
11. There are five schedulable days a week and a lecture/lab session can not be scheduled
efore 9am and must end by 4pm. All lecture or lab sessions start at hour mark, including
Friday, to simplify your programming.
Marking scheme: (Total 20 marks)
1. Demonstrate problem solving using top-down design. (2 marks)
2. Demonstrate modular programming technique. (2 marks)
3. Demonstrate co
ect use of file opening and processing techniques. (2 marks)
4. Demonstrate effective use of list and dict. (3 marks)
5. Solution can run to completion without e
or messages. (2 marks, given that the solution
is not a dummy execution)
6. Output filenames and the contents conform with the naming format and the value format
espectively. (2 marks)
7. Solution produces a viable timetable scheduling for all three programmes; e.g. no time
clashing while fulfilling all the aforementioned scheduling criteria. (4 marks)
8. If your solution can guarantee that there is an one-hour gap between every two sessions
(they can be either lecture or lab in any orders). (2 marks)
9. With clear and sufficient comments in the program to explain your design. (1 mark)
Note that the given inputs do not follow the actually UTAR cu
ent structures
accurately.
You are not allowed to change the format of any inputs for your convenience as the
marking will feed different contents using the same input format to your solution. Also, you
should not assume any other inputs from the keyboard or files unless otherwise specified
later.
Submission
 The deadline is 6pm on 29th March 2019 (Friday)
 NO LATE submission is accepted.
 One submission for one group is sufficient.
 Do NOT submit input files.
 Only submit your solution in Python by emailing them to XXXXXXXXXX with email
subject equal to
◦ UEEN XXXXXXXXXXA1 G[group number]
◦ e.g. UEEN XXXXXXXXXXA1 G[13] for group #13.
 Your Python file should follow the naming format below:
◦ G[group number]_A1.py
◦ e.g. G[13]_A1.py for group #13.
 Failure to conform to the naming format above will result in 10% deduction of your
total mark.
UNIVERSITI TUNKU ABDUL RAHMAN page 2
mailto: XXXXXXXXXX
https:
en.wiktionary.org/wiki/schedulable