Rachel McClellan
Residential Faculty - Computer Information Systems
Office: BP 43A - Room: 8
770-330-4887 (mobile)
Office Hours
Monday | Tuesday | Wednesday | Thursday | Friday |
|---|---|---|---|---|
3:00 PM - 5:00 PM | 2:30 PM - 3:30 PM | |||
Online | Online | |||
By appointment |
Tuesdays: 3:00pm - 5:00pm In My Office OR Virtually via https://meet.google.com/art-pkeo-cfo
Wednesdays: 2:30pm - 3:30pm Virtually via https://meet.google.com/art-pkeo-cfo
Thursdays: Virtually by appointment
Classes Taught
Summer 2026
| CIS215 | Foundations of Data Analytics and Programming | 3 Credits | ||||
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Overview of data analytics and programming, concepts, terminology, and how analytics and programming are used professionally in business. Use of office application software, dashboards and Integrated Development Environments (IDEs). Includes exploration of relevant emergent technologies. A grade of C or better required in all Prerequisites. Prerequisites or Corequisites: CIS105 or permission of Instructor. |
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| Section | Location | Delivery | Dates | Days | Times | Availability |
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14049
|
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Online (On Your Time)
Lecture/Lab
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05/26/2026 – 07/16/2026
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Class Started |
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Notes: This is an Online class that does not meet at specific class times. Students are required to have access to a computer or mobile device, and Internet access, unless otherwise specified.
Before enrolling in their first online class at MCC, students need to view the online orientation and complete the readiness survey on https://www.mesacc.edu/online/get-started for additional information. |
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| Book Information | ||||||
| CIS276DB | SQL Server Database | 3 Credits | ||||
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A broad overview of the Microsoft Structured Query Language (SQL) Server database. Includes SQL instruction for data definition, data manipulation, and data retrieval. Develops knowledge and skills required to install SQL Server, model and create new databases, manage users, authentication, and stored procedures, and develop backup/restore strategies. Prerequisites: A grade of C or better in CIS105, or CIS117DM, or permission of Instructor. |
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| Section | Location | Delivery | Dates | Days | Times | Availability |
|
13925
|
|
Online (On Your Time)
Lecture/Lab
|
05/26/2026 – 07/16/2026
|
|
|
Class Started |
|
Notes: This is an Online class that does not meet at specific class times. Students are required to have access to a computer or mobile device, and Internet access, unless otherwise specified.
Before enrolling in their first online class at MCC, students need to view the online orientation and complete the readiness survey on https://www.mesacc.edu/online/get-started for additional information. |
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| Book Information | ||||||
Fall 2026
| CIS215 | Foundations of Data Analytics and Programming | 3 Credits | ||||
|---|---|---|---|---|---|---|
|
Overview of data analytics and programming, concepts, terminology, and how analytics and programming are used professionally in business. Use of office application software, dashboards and Integrated Development Environments (IDEs). Includes exploration of relevant emergent technologies. A grade of C or better required in all Prerequisites. Prerequisites or Corequisites: CIS105 or permission of Instructor. |
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| Section | Location | Delivery | Dates | Days | Times | Availability |
|
17091
|
Dobson Campus
|
Hybrid In-Person
Lecture/Lab
|
08/25/2026 – 12/18/2026
|
Tu
|
5:20 PM – 7:00 PM
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Open 17 of 20 |
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Notes: Hybrid classes include face-to-face format on campus at the time listed in the class schedule. The other part will be held online either without a set time to attend or a Live Online session.
Students enrolling in a hybrid class acknowledge they already possess the skills described in the Minimum Computer and Technology Requirements at https://www.mesacc.edu/online/get-started for additional information. |
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17090
|
|
Online (On Your Time)
Lecture/Lab
|
08/24/2026 – 12/18/2026
|
|
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Open 14 of 24 |
|
Notes: This is an Online class that does not meet at specific class times. Students are required to have access to a computer or mobile device, and Internet access, unless otherwise specified.
Before enrolling in their first online class at MCC, students need to view the online orientation and complete the readiness survey on https://www.mesacc.edu/online/get-started for additional information. |
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| CIS256 | Python Programming Level II | 3 Credits | ||||
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Advanced Python object-oriented programming concepts and applications. Emphasis on code documenting, versioning, unit testing strategies, and security practices for Python project/package development. Includes Python applications for data analysis, networking, database manipulation, and web application development. Prerequisites: A grade of C or better in CIS156 or permission of Instructor. |
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| Section | Location | Delivery | Dates | Days | Times | Availability |
|
17528
|
|
Online (On Your Time)
Lecture/Lab
|
08/24/2026 – 12/18/2026
|
|
|
Closed |
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Notes: This is an Online class that does not meet at specific class times. Students are required to have access to a computer or mobile device, and Internet access, unless otherwise specified. Before enrolling in their first online class at MCC, students need to view the online orientation and complete the readiness survey on https://www.mesacc.edu/online/get-started for additional information. |
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|
17730
|
|
Online (On Your Time)
Lecture/Lab
|
08/24/2026 – 12/18/2026
|
|
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Open 11 of 24 |
|
Notes: This is an Online class that does not meet at specific class times. Students are required to have access to a computer or mobile device, and Internet access, unless otherwise specified. Before enrolling in their first online class at MCC, students need to view the online orientation and complete the readiness survey on https://www.mesacc.edu/online/get-started for additional information. |
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| CIS415 | Big Data | 3 Credits | ||||
|---|---|---|---|---|---|---|
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Study of the fundamentals and characteristics of Big Data. Evaluation of existing Big Data processing platforms and tools. Developing skills to handle and implement Big Data projects, including machine learning concepts. Prerequisites: A grade of C or better in CIS256, CIS256DA, CIS262AD and CIS318, or permission of Instructor. |
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| Section | Location | Delivery | Dates | Days | Times | Availability |
|
17658
|
|
Online (On Your Time)
Lecture/Lab
|
08/24/2026 – 10/16/2026
|
|
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Open 3 of 24 |
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Notes: This is an Online class that does not meet at specific class times. Students are required to have access to a computer or mobile device, and Internet access, unless otherwise specified. Before enrolling in their first online class at MCC, students need to view the online orientation and complete the readiness survey on https://www.mesacc.edu/online/get-started for additional information. |
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Fall Flex Start 2026
| CIS415 | Big Data | 3 Credits | ||||
|---|---|---|---|---|---|---|
|
Study of the fundamentals and characteristics of Big Data. Evaluation of existing Big Data processing platforms and tools. Developing skills to handle and implement Big Data projects, including machine learning concepts. Prerequisites: A grade of C or better in CIS256, CIS256DA, CIS262AD and CIS318, or permission of Instructor. |
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| Section | Location | Delivery | Dates | Days | Times | Availability |
|
17742
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|
Online (On Your Time)
Lecture/Lab
|
10/19/2026 – 12/18/2026
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|
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Open 9 of 24 |
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Notes: This is an Online class that does not meet at specific class times. Students are required to have access to a computer or mobile device, and Internet access, unless otherwise specified. Before enrolling in their first online class at MCC, students need to view the online orientation and complete the readiness survey on https://www.mesacc.edu/online/get-started for additional information. |
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Degrees & Awards
M.S. in Data Science, B.S. in Industrial Engineering
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