Course Syllabus

Fall 18 PHY2004L - Applied Physics 1 Laboratory

Instructor: Dr. Sujata Krishna

Instructor Information

Instructor Dr. Sujata Krishna
Office Location NPB 2249
Office Hours M 1 - 1.45 pm online via zoom link from homepage
Email contact policy

Contact using Canvas email (Conversations). You may expect a response within 2 days during weekdays.

I will post an announcement during times when I am out of reach.

Course Description

The PHY2004L UF Online course offers students the experience to complete individual investigations remotely, using the same data acquisition techniques and data analysis as students in campus-based sections. Labs are designed to be exploratory in nature and part of the learning is to build the experimental set-up. You may seek help from your lab partners in this via the discussion board.  Each student will build the experimental apparatus from materials required for purchase, and utilize a sensor cart to collect data for further analysis. Collaboration with lab partners is required during the sense-making stage of the analysis. Some labs will differ from the campus-based sections due to cost of apparatus, although care is taken to match the learning outcomes between alternate investigations.

Prerequisite Knowledge and Skills: Basic algebra and trigonometry; manual dexterity for performing experimental procedures.

Credits: 1 credit

Purpose of Course

The purpose of this lab course is to provide students with hands-on experiments that give them the opportunity to:

  • observe and make measurements on simple mechanical systems.
  • practice performing quantitative analysis of those measurements in order to discover or confirm relationships among the variables involved.
  • make predictions about similar systems and make measurements to check those predictions.
  • relate the measurements to physical principles in order to determine material constants such as mass density or to determine fundamental constants such as the acceleration due to gravity.

Course Objectives

By the end of this course, you will be able to:

  1. Identify quantitative and qualitative variables in an experimental investigation,
  2. Design procedures and carry them out to measure quantitative variables systematically,
  3. Graph and analyze those measurements via linearization and regression techniques, and
  4. Interpret analysis relative to proposed theoretical principles to determine material and physical constants of the theory.

Required Course Materials

This course consists of hands-on lab experiments that complement PHY2004L. Students are required to purchase a custom lab materials kit consisting of an IOLab cart and other items to complete 9 labs.

The kit is available for purchase from the UF Bookstore, where students purchase an access/redemption code and may use any available financial aid funds designated for this purpose. The access/redemption code is then used during checkout at eScienceLabs.com as a form of payment. Or, students may purchase the kit directly from the vendor and pay at checkout. Either way, students will end up at eScienceLabs.com, create an account, then search for KIT2525 and complete the checkout procedure.

Students utilizing financial aid: It typically takes a week or more into the beginning of the semester for available financial aid to be disbursed to student accounts. DO NOT WAIT until the disbursement to order materials. You may utilize the UF BOOKSTORE DEFERRED PAYMENT PROGRAM to order materials before the disbursement of your financial aid. Click the link for details about this program.

Canvas Information

Canvas is the where course content, grades, and communication will reside for this course.

  • ufl.instructure.com
  • For Canvas, Passwords, or any other computer-related technical support contact the IT Service Desk.
    • 123 123-1234
    • 877 878-8325
    • http://it.myinstitution.edu
    • itsupport@myinstitution.edu

Course Policies

Attendance Policy: This course is completely remote, but your “attendance” is still important! Because this course is an application course, collaboration with your peers and professor is integral to your success. Timely and engaged responses to discussions and lab work will make the experience easier for everyone. If you wait to the last minute, you may find that help is harder to find.

Make-up Policy: Generally, all lab work including, IOLab data collection and discussion, and completed lab questions are due on Sundays at 11:59pm. Acceptance of late work is consistent with university policies that can be found at https://catalog.ufl.edu/UGRD/academic-regulations/attendance-policies/ .

For a foreseeable absence, it is your responsibility to identify yourself as requiring an accommodation at least one week prior to the absence.

Course Technology: This course will be offered through the University of Florida’s LMS, Canvas. Students will also be required to install the IOLab software. Students will be required to use Microsoft Excel to process data.

Lab Group Policy: Students may collaborate in the experimental setup by offering tips and suggestions, but each student must collect his or her own data using the materials found in the lab kit. The process of analyzing and making sense of the gathered data and the experiment are expected to be collaborative. Students will turn in individual assignments and use the discussion boards for all group communication about labs. Lab group communication is expected to be frequent throughout each week and will be evaluated based on the quality of your substantive contributions to the discussion. 

University Policies

University Policy on Accommodating Students with Disabilities: Students requesting accommodation for disabilities must first register with the Disability Resource Center (352-392-8565), http://www.dso.ufl.edu/drc/) by providing appropriate documentation. The Dean of Students Office will provide documentation to the student who must then provide this documentation to the instructor when requesting accommodation. You must submit this documentation prior to submitting assignments or taking the quizzes or exams. Accommodations are not retroactive, therefore, students should contact the office as soon as possible in the term for which they are seeking accommodations.

University Policy on Academic Misconduct: Academic honesty and integrity are fundamental values of the University community. Students should be sure that they understand the UF Student Honor Code at Honor code link.

**Netiquette: Communication Courtesy: All members of the class are expected to follow rules of common courtesy in all email messages, threaded discussions and chats.

Nettiquette Policy

COURSE EVALUATION: Students are expected to provide professional and respectful feedback on the quality of instruction in this course by completing course evaluations online via GatorEvals. Guidance on how to give feedback in a professional and respectful manner is available at https://gatorevals.aa.ufl.edu/students/ (Links to an external site.)Students will be notified when the evaluation period opens, and can complete evaluations through the email they receive fromGatorEvals, in their Canvas course menu underGatorEvals, or via https://ufl.bluera.com/ufl/  Summaries of course evaluation results are available to students at https://gatorevals.aa.ufl.edu/public-results/ .

ATTENDANCE AND MAKE-UP POLICY: Excused absences and allowances for make-up work are consistent with university policies in the undergraduate catalog and require appropriate documentation. UF Attendance Policy

UF Grading Policy

Grading

Your overall course grade will be determined by your performance on each of the labs and on your participation within your lab group. There are no exams in this course.

LABS

You will complete 9 labs, each worth a total of 11 points. These points may be divided among submissions of data, excel workbooks, and postings to the discussion board. You will submit evidence of completing the lab in order to earn these points according to your performance and success on presenting the following laboratory elements:

Setup and data acquisition: Showing diligence in setting up apparatus, carrying out suggested procedures and measurements, and collecting raw data. This will be evaluated by the quality and completeness of raw data sets collected and by the display of this data in tables including their physical units, or plots displaying data collected with the IOLab cart. All data submitted must come from your investigations alone. Students may not use data from other classmates or sources without the explicit approval from your instructor.

Data analysis:Showing how data is related to theory and its predictions. This will be evaluated from student’s construction of properly-labeled spreadsheet tables of theoretically-motivated derived quantities based on raw data and including units, making graphs and doing regression analysis, or other tools as instructed.

Conclusions: Showing an understanding of the physical laws involved and how they are applied. This will be evaluated from interpretations of graphing and regression, from answers to comprehension questions and by making predictions and measurements to check those predictions. You will be graded on clarity and correctness of your posts. Practice academic honesty and attribute contributions of others (using names) when conclusions are informed by discussions involving other individuals.

LAB PARTNER DISCUSSIONS

High quality scientific discovery is often completed with colleagues, most of whom are located at different research labs across the world. This remote lab course provides students an authentic experience to collect their own data following a common procedure and use these data sets as a framework for making sense of the data and discussing scientific practice with colleagues.

Weekly discussion questions will accompany each lab to mediate this desired outcome of thoughtful discourse based on your experience completing laboratory exercises. You will find that the discussions in the initial labs are highly structured and graded, they then give way to less structured but still graded discussion, and finally we have optional, ungraded discussion posts. 

To begin discussions, each student is required to post certain data sets as described in the lab instructions or indicated in weekly announcements to the discussion board. This posting of data is due no later than 11:59pm on the Thursday before the lab report is due.

EVALUATION SUMMARY

Letter grades are assigned based on the total points awarded in the course. These points are indications of your achievement of the course-level learning objectives and are from the following experiences:

Maximum points to be earned are as follows:

Syllabus Quiz, Intro Discussion, Inventory Check Discussion  3 total (1 point each)
Labs 1-8 11 points each = 88 total
Lab 9  9 points
Total Points 100 

 

 

10 points per lab 1-8 + 9 points for Lab 9 +  3 points (1 each for the Syllabus Quiz, inventory check discussion and introduction discussion)

TOTAL 100 points

Your course grade will not be assigned based on a curve, but based on a percentage of the earned points to the maximum points available. This 100-point fixed scale rounded to the nearest point:

A

A-

B+

B

B-

C+

C

C-

D+

D

D-

E

94

90

87

84

80

77

74

70

67

64

60

<59.5

 

Calendar

      Due 

Lab #

Lab Name

8/20/19

--

Syllabus, ORDER LAB KIT!

D: 8/29

0

Introduce Yourself

D: 9/5

Q:9/5

R: 9/8

1

Kit Arrival

Materials and Software Check

IOLAB Measurements

Syllabus Quiz

 

2

Position and Velocity

D: 9/19

R: 9/22

Position and Velocity,

Part 1 &2

R: 10/6

 

Velocity & Acceleration  Part I

D: 10/10

R:10/13

3

Velocity and Acceleration

 

4

Passive Forces

D:10/24

R: 10/27

Passive Forces,

Part  1 & 2

D: 10/31

R: 11/03

5

Acceleration and Force

D:11/07

R:11/10

6

Impulse and Momentum

D:11/14

R;11/17

7

Centripetal Acceleration

D:11/21

R:11/24

8

Simple Harmonic Motion

D:12/04

R:12/04

9

Standing waves on s String

Due Wednesday, Dec 4

 

Disclaimer:This syllabus represents my current plans and objectives. As we go through the semester, those plans may need to change to enhance the class learning opportunity. These changes will be communicated clearly via announcements on Canvas.

Course Summary:

Date Details