Welcome to Learning in the Digital Age: Academic, Personal, and Professional Considerations!

Fall 2022

Motivation

This course will equip students with resources and strategies that support their academic success as they transition to the university environment. This section is designed for and restricted to students with a major or minor in Computational Mathematics, Science and Engineering (CMSE)

Format

This single credit seminar course is taught as an online course with some synchronous options available based on student need. Students are given short weekly assignments (ex. videos, reading and workshops) designed to help them transition to university life and build relationships with their fellow students.

• Course Syllabus
• Desire2Learn (aka D2L) - MSU Course management system

Recommended Schedule

Some assignments (ex. 3x3 reports) must be completed during the week they are assigned. However, many of these assignments can be competed at any time during the semester. Your instructor recommends finishing as early as possible.

Week 0 - Welcome Week (Aug 31 - Sept 2)

Start Date	Due Date	Topic	Points
–	–	Welcome Video	–
–	Sept 2	Availability Poll	5
Aug 27	Sept 2	3x3 Report	5

Week 1 - Introduction (Sept 5 - Sept 9)

Start Date	Due Date	Topic	Points
–	–	Initial Mentor Meeting **	–
TBD	TBD	CANCELED Introductions (Seminar)	10
–	Sept 9	Introductions (Discussion)	5+5 *
Sept 3	Sept 9	3x3 Report	5

Week 2 - Desire to Learn (Sept 12- Sept 15)

Start Date	Due Date	Topic	Points
–	–	Instructor Planning Meeting	50
Async	Async	Online Technology (Asynchronous Seminar)	5
–	Sept 9	Online Technology Questions and Ideas (DISCUSSION)	5+5 *
Sept 10	Sept 16	3x3 Report	5

Week 3 - Virtual Campus Tour (Sept 19 - Sept 23)

Start Date	Due Date	Topic	Points
–	–	168 hour time log ***	50
–	Sept 21	Campus Tour (Discussion)	5+5 *
4pm Sept 22	5pm Sept 22	Campus Tour (In-Person Seminar)	5
Sept 17	Sept 23	3x3 Report	5

Week 4 - Data Science Q&A (Sept 26 - Sept 30)

Start Date	Due Date	Topic	Points
Async	Async	Introducing Data Science (Asynchronous Seminar)	5
–	Sept 30	Data Science Degree (Discussion)	5+5 *
Sept 24	Sept 30	3x3 Report	5

Week 5 - High impact learning experiences (Oct 3 - Oct 7)

Start Date	Due Date	Topic	Points
Async	Async	High impact learning experiences (Asynchronous Seminar)	5
–	Oct 7	High Impact Learning (Discussion)	5+5 *
Oct 1	Oct 7	3x3 Report	5

Week 6 - Managing your Schedule and Task (Oct 10 - Oct 14)

Start Date	Due Date	Topic	Points
Async	Async	Managing your Schedule and Task (Asynchronous Seminar)	15
–	Oct 14	Time Management (Discussion)	5+5 *
–	–	Personality Assessment	30
Oct 8	Oct 14	3x3 Report	5

Week 7 - Personalities (Oct 17 - Oct 21)

Start Date	Due Date	Topic	Points
ASYNC	ASYNC	Personalities (Asynchronous Seminar)	5
–	Oct 14	Personality Profiles (Discussion)	5+5 *
Oct 15	Oct 21	3x3 Report	5

Week 8 - FALL BREAK WEEK (Oct 22 - Oct 28)

Start Date	Due Date	Topic	Points
Oct 22	Oct 28	3x3 Report	5

Week 9 - Tracking your Time (Oct 31 - Nov 4)

Start Date	Due Date	Topic	Points
Async	Async	Tracking your Time (Asynchronous Seminar)	5
–	Nov 4	Time Tracking (Discussion)	5+5 *
–	–	Mentor Check-in **	–
Oct 29	Nov 4	3x3 Report	5

Week 10 - Gratitude (Nov 7 - Nov 11)

Start Date	Due Date	Topic	Points
Async	Async	Gratitude (Asynchronous Seminar)	5
–	Nov 11	Gratitude (Discussion)	5+5 *
Nov 5	Nov 11	3x3 Report	5

Week 11 - Interpersonal Problem Solving (Nov 14 - Nov 18)

Start Date	Due Date	Topic	Points
Async	Async	Interpersonal Problem Solving (Asynchronous Seminar)	5
–	Nov 18	Sharing Interpersonal Problems (Discussion)	5+5 *
Nov 12	Nov 18	3x3 Report	5

Week 12 - Personal Finances (Nov 21 - Nov 25)

Start Date	Due Date	Topic	Points
Async	Async	Personal Finances (Asynchronous Seminar)	5
–	Nov 25	Personal Finance (Discussion)	5+5 *
–	–	Data Science in the news	30
Nov 19	Nov 25	3x3 Report	5

Week 13 - Programming and Hacking (Nov 28 - Dec 2)

Start Date	Due Date	Topic	Points
Async	Async	Programming (Asynchronous Seminar)	5
–	Dec 2	Programming (Discussion)	5+5 *
–	–	Spring 2023 Schedule Planning	30
Nov 26	Dec 2	3x3 Report	5

Week 14 - Programming (Dec 5 - Dec 9)

Start Date	Due Date	Topic	Points
–	–	Final Mentor Meeting **	50
Dec 3	Dec 9	3x3 Report	5

* Discussion questions are worth 5 points. You can also get up to 5 additional points by responding to other student’s questions (2 points for each response). Note you can only earn up to 10 points a week on discussion. You don’t always have to follow the topic of the week, you can talk about whatever is helpful for you.

** You will need to meet your mentor multiple times in the semester to get credit, which will be applied after the last meeting.

*** Make sure you do the tracking assignment early it will take an entire week.

Note: as of the beginning of the semester there were 470 possible points listed above of which each student needs 250 to pass. As the semester progresses additional points may be added but this total may not get updated.

Written by Dr. Dirk Colbry, Michigan State University
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.