What is Expected of Me in Math 40?

Textbook, Software, and Other Materials

Education should NOT be expensive; however, too often it is.  I am striving to make your course with me as inexpensive as I possibly can. I am using FREE textbooks and free online resources. I allow free calculator apps for phones, even on exams. I have you use free technology (Excel is free to LPC students; Google Sheets is free with a free account - and your LPC email is a Google account!).   

If you encounter a problem with the course or with required resources, please let me know. I may be able to help.

CANVAS: Instructions and Submissions

Canvas will be used to house all documentation from class, as well as the primary communication between you and me, and you and your fellow students.  Canvas is a powerful tool to help facilitate discussion outside of the traditional classroom.

All your work is submitted through Canvas. Content is organized by weekly Modules to keep you on task with the material. There are several ways you can navigate through Canvas, but I encourage you to stick with the Modules.

More about getting started with Canvas can be found here.

Technical Support

Contact LPC’s technical support desk during weekdays to get any Canvas problems solved. During nights and weekends, you can contact Canvas directly at 1-844-600-3467.

If you need NetTutor technical support, click the Customer Service Request link within NetTutor, and fill out the form. You may also call the NetTutor Customer Support Team at (813) 674-0660 x204. The direct email is support@link-systems.com. Note: NetTutor may not be available for mathematics classes. Be sure to check the LPC Tutoring Center.

Grades

Practice (Homework) = 15%

Focused Lessons/Hypothesis Annotations = 15%

Labs = 15%

Project = 15%

Exams (3, 9% each) = 27%

Final Assessment = 13%

Note that about half  your grade is on formative assessments (low-stakes, knowledge checks) and half on summative assessments (exams, final). I want to provide you with ample feedback on your formative assessments so you're ready for the summative assessments. 

More Information on Assignments

Focused Lessons

Learning the material initially will consist of three different means of delivery: 

Practice

Practice homework is intended to practice what you learn. Each lesson will have a few problems for you to apply your learning. You are welcome to work with others on completing the problems, but you will have different problems (different numbers). You should keep a notebook or a spreadsheet of your work - don't just do the problems on scratch paper - so you can refer back to how you completed your work.  I will ask you on occasion to upload a picture of your work or your spreadsheet file, so keep these handy when you do your homework.  As we get further into the assignments, it may be easier to use Excel or Google Sheets to do the homework, and I will ask for uploads of those files when we are ready (usually around chapter 6, normal distribution).

(Optional) Discussion boards are available for you to ask and answer questions on the homework. MyOpenMath has a "message instructor" feature, but it is difficult to access through Canvas. So instead of allowing "message instructor", discussion boards will be used to ask and answer homework questions. These discussion boards are not required, but can give you some insight on homework and allow you to help your peers.

Lab Assignments

This class also includes a requirement to learn technology.  I have chosen to work with MS Excel/Google Sheets and Python programming. Most of the assignments have similar instructions, but sometimes Microsoft and Google diverge on how to do some functions.  Learning a new technology can be quite rewarding since you can translate that skill into other areas (include the skill on your resume!). It can also be time-consuming if you are very new at it. The labs are intended to ramp up in difficulty as we go and build on each other, so it is important you do the labs as presented.

We will also be using Python programming through Google CoLab. One of the largest growing fields right now is interdisciplinary computing. These Python lab assignments have a lot of instructions and are meant to show you that statistics can be accomplished using multiple technologies. We'll work together to complete these labs.

Exams

There are three exams in the semester: 

Exams will have two parts: without technology and with technology.  The second parts are open notes, open book - only content linked from Canvas. NO PERSONS other than me can help you. Exams are scheduled for particular days during class.

Final Assessment 

Your final exam will be Thursday, December 14 at 9:30 am. The final exam will consist of questions from the entire course and questions from chapters 10 and 11. 

The corresponding support course final exam immediately follows at 11:30am; however this "exam" will be a take-home exam due on December 19.

The project will be one of your choosing, from several broad topics.  Big picture: You will determine a topic you want to explore. You'll find an existing data set to work with your topic, provide a short history/importance narrative, and create three examples of descriptive statistics and two inferential statistics to go along with your project. You should connect the statistics with the narrative and blend them together so these smaller assignments become one finished product. That product can come in the form of a paper, a slide presentation, a video, or a website (Google sites - this platform - is really easy to use, and you already have access through your Zonemail account!).

Success is dependent on effort. ~ Sophocles

Media Credits: 

Course Banner: Stormtroopers Pondering Masks, Photo by Clément Falize on Unsplash 

Bottom Quote Background, Stack of Rocks, Photo by Markus Spiske on Unsplash