Grade Information

No. ID Programming Exercises Examinations
I II 1 2 Final
Data Life Cycle Mobile Data Mining & Analytics
20% 20% 20% 20% 20%
1 5248 92 92
2 8296 90 76 75
3 5209 80 67 70
4 1710 91 94
5 5647 92 97 91 100
6 2683 💀 64
7 1916 86 66 92
8 1237 91 95 99
9 3410 81 80 94
10 8138 65 80
11 2880 91 71
12 4968 92 96
13 8182 84 75
14 0997 92 100 93 96
15 8013 90 100 86 90
16 9048 100 88 100
17 1442 87 97
18 1897 87 95

  • For final grading,

    • the grades will be given based on comparison (or curve: your grade is relative to the grades of your classmates), and
    • a normal distribution or gap finding is usually applied.

  • Two examples of my previous grading are Grades I and Grades II. It is for you to see my grading style, which may change semester to semester.

  • If you have not registered this course yet, your ID is the last four digits of your UND ID.

  • My teaching philosophy is here.
The following signs indicate the status of your grades:
  • : the instructor has received the assignment and it will be graded as soon as possible.

  • : the instructor has received the revised assignment and it will be graded as soon as possible.

  • : the assignment needs an appointment for demonstration. Make an appointment as soon as possible.

  • 😡: the assignment was submitted, but is incomplete. Before it can be graded, check the specs carefully and find which actions are missed such as password and report submission, code uploading, demonstration, etc.

  • : the assignment was submitted, but requests to hold the grading.

  • 😈: the demo failed and requests for another demo.

  • 💀: requested for re-grading and the request may or may not be granted.

  • : the assignment is not correct, and it may or may not be graded later.

  • 😖: the assignment is not gradable. Contact the instructor as soon as possible.

  • 😰: the assignment is a late submission, and it may or may not be graded later.

  • 😂: the assignment is a late submission and appropriate credits will be assigned.

  • 🚮: the assignment has problems and the instructor asks for a re-submission.

  • 🤔: an appropriate credit will be given after consideration.

  • : the assignment is suspected of plagiarism.

  • 🔴: the student withdrew from the course.