This is a 100% online, asynchronous course.
The materials will be delivered in a distance learning format (online) through the course website (https://pengdsci.github.io/MAT121W5/). You are expected to check this page frequently during this 5-week summer semester for updates and new course materials.
D2L is used only for weekly exams and the final exam. All weekly topic lists, lecture notes, online practice exercises, and interactive statistics learning apps are available exclusively on the course website, not on D2L.
The course materials are structured in a modular format, with each module focusing on a specific topic or theme. Each module includes a dedicated web page containing a topic list, links to lecture notes (which feature embedded short videos), online practice exercises, and ISLA apps for self-assessment to gauge your understanding. At the end of each week, you will take a weekly exam through D2L covering all topics from that week’s three modules.
You will complete one module each week, which are structured in the right navigation panel on the course webpage (https://pengdsci.github.io/MAT121/). For each module, follow the suggested workflow below:
Review the module-specific page to see the list of topics and learning resources.
Study the module notes: For each module note, you are expected to
After completing each module, go to D2L to take the weekly 1uiz, which covers topics from the module.
There are four miterm exams and a final exam. Each midterm exam covers previous three modules. You can find detailed information about each midterm exam by clicking the link on the right navigation panel of the course web page.
After finish all three modules, go to D2L to complete the weekly exam the covers all topics from the three modules. There are four weekly exams and a final exam. Each exam has standalone web page detailed information about the exams.
To find the weekly exam on D2L,
This is a short and intensive summer course. To enhance your online learning experience and achieve your goals, I offer the following advice:
Start early on weekly materials - never wait until the last minute. Procrastination will ruin your progress.
Practice (Don’t Just Read) Examples and Online Multiple-Choice Problems:
Tip: Treat multiple-choice problems as “show-your-work” problems. Solve them step by step, then select the correct answer based on your reasoning. For the online practice exercises, only click the “answer” button after completing your work. Use these online resources wisely and responsibly.
Using an Appropriate ISLA (Interactive Statistical Learning App):
Use ISLA to verify your work and ensure accurate statistical reasoning. If your answers differ from the app’s, carefully review your work to identify mistakes. This method helps debug your thinking and strengthens your understanding.
Seeking Help When Needed:
If you struggle with certain concepts or examples, note them down and reach out to me or the excellent tutors at MLC. Remember: You can succeed regardless of your prior math experience. Challenges are part of learning - don’t hesitate to ask for help from me, tutors, or peers. Never give up!
Course policies and expectations for exams are outlined in the syllabus which is posted on the course web page (link is on the top navigation panel).
I provide comprehensive lecture notes and have developed 17 interactive statistics learning apps specifically for this course. Therefore, you do not need to purchase any additional materials or devices. All you need is a commitment to studying the weekly materials and practicing problems through the online exercises.
Other sections of this course may require the textbook Elementary Statistics by Navidi and Monk (3rd edition). However, this class does not require any textbook. I will provide all necessary material through my lecture notes, which follow the same notational system.
If you would like to keep a copy of the textbook for reference, you are welcome to do so. If you do not need it, you must opt out of the required eBook. Once you receive the email notification, be sure to take action—otherwise, you will be automatically charged for the electronic textbook.
I have dedicated significant effort to creating a variety of graphics in the lecture notes and eBook to help you visualize the material wherever possible. Additionally, I’ve developed interactive apps ISLA that complement the topics covered in the notes. These apps are organized as standalone sections under the Use of Technology heading to further deepen your understanding of the content.
Graphing calculators are not required for this
class, as we only use them occasionally for simple
calculations. Instead, you should have a basic scientific
calculator capable of performing the four basic operations
(+, -, ×, ÷
) and square roots (\(\sqrt{x}\)).
You can also use the ISLA apps as a statistical calculator—both to verify your manual calculations and to check results in the lecture examples (which is how I use them in class).
As outlined in the syllabus, your final course grade will be determined by:
Approximately 8 weekly assignments (listed as weekly quizzes on D2L) (25%)
Three midterm exams (45% total, each worth 15%)
A final exam (20%)
Attendance (10%)
Answer keys for each midterm exam will be posted on the course webpage shortly after the exam’s due date.
If necessary, I may adjust midterm and final exam scores based on the class’s overall performance.