Grade Information

No. ID Programming Exercises Examinations
I II 1 2 Final
Data Life Cycle Data Mining & Analytics
20% 20% 20% 20% 20%
1 1289 95 65 76 83 78
2 9856 76 100 92 95 95
3 9536 90 85 80 87 83
4 906742 100 100 83 83 84
5 02468 63 61 72
6 9192 85 92 84 87 91
7 4018 100 100 87 92 94
8 0412 98 95 98 90 83
9 0997 98 100 82 88 93
10 6092 90 100 69 71 77
11 8743 94 100 92 86 100
12 8013 92 100 86 83 88
13 T2203 75 100 90 86 87

  • 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.