MSDA3055
REGRESS'N ANALYSIS& TIME SERIE
Other titles (1)
- LINEAR REGRESS'N & TIME SERIES
- Department
- Master of Sci in Data Analytic
- Terms offered
- 15
- Data refreshed
- Jun 30, 2026
Description
This course provides a comprehensive understanding of regression analytics and time series modeling, emphasizing their application in solving real-world problems. Students will explore fundamental and advanced regression techniques, including regularization methods, logistic regression, and interaction effects, to build predictive models. The time series component will delve into forecasting techniques, including ARIMA, seasonal models, and Prophet. The course emphasizes practical implementation using Python and R, equipping students with the skills to analyze structured data, forecast trends, and create actionable insights. The course emphasizes practical applications, preparing students for advanced machine-learning techniques covered in subsequent courses.
Syllabi
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Offerings and forecast 2020–2026
2020 2026
| Year | Fall | Spring | Summer | Intersession |
|---|---|---|---|---|
| 2030 | 2030 Fall: 45% chance, medium confidence. Offered in 5 of 6 fall terms since 2021. Department course count rising about 3% per year. Department faculty is about 25% below its recent average. | 2030 Spring: 58% chance, medium confidence. Offered in every spring term since 2020. Department course count rising about 2% per year. Department faculty is about 37% below its recent average. | 2030 Summer: 18% chance, medium confidence. Offered in 3 of 7 summer terms since 2020. Department course count falling about 36% per year. | 2030 Intersession: 8% chance, medium confidence. Offered in 0 of 6 intersession terms since 2020. |
| 2029 | 2029 Fall: 48% chance, medium confidence. Offered in 5 of 6 fall terms since 2021. Department course count rising about 3% per year. Department faculty is about 24% below its recent average. | 2029 Spring: 63% chance, medium confidence. Offered in every spring term since 2020. Department course count rising about 4% per year. Department faculty is about 35% below its recent average. | 2029 Summer: 19% chance, medium confidence. Offered in 3 of 7 summer terms since 2020. Department course count falling about 26% per year. | 2029 Intersession: 7% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017. |
| 2028 | 2028 Fall: 51% chance, medium confidence. Offered in 5 of 6 fall terms since 2021. Section count rising about 1% per year over 2 terms. Department course count rising about 5% per year. Department faculty is about 21% below its recent average. | 2028 Spring: 67% chance, medium confidence. Offered in every spring term since 2020. Section count rising about 1% per year over 3 terms. Department course count rising about 12% per year. Department faculty is about 30% below its recent average. | 2028 Summer: 20% chance, medium confidence. Offered in 3 of 7 summer terms since 2020. Department course count falling about 22% per year. | 2028 Intersession: 7% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017. |
| 2027 | 2027 Fall: 53% chance, medium confidence. Offered in 5 of 6 fall terms since 2021. Section count rising about 1% per year over 3 terms. Department course count rising about 5% per year. Department faculty is about 21% below its recent average. | 2027 Spring: 70% chance, medium confidence. Offered in every spring term since 2020. Section count rising about 1% per year over 4 terms. Department course count rising about 12% per year. Department faculty is about 30% below its recent average. | 2027 Summer: 15% chance, medium confidence. Offered in 3 of 7 summer terms since 2020. Department course count falling about 22% per year. Department faculty is about 64% below its recent average. | 2027 Intersession: 6% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017. |
| 2026 | Not offered | 1 section | Not offered | No data |
| 2025 | 1 section | 1 section | Not offered | Not offered |
| 2024 | 3 sections | 4 sections | Not offered | Not offered |
| 2023 | 3 sections | 3 sections | 1 section | Not offered |
| 2022 | 2 sections | 2 sections | 1 section | Not offered |
| 2021 | 1 section | 1 section | Not offered | Not offered |
| 2020 | Not offered | 1 section | 1 section | Not offered |
Forecast Under 15% 15–39% 40–69% 70–89% 90%+ Not enough history
Fall Spring Summer Intersession More sections Not offered No data
Meeting times
Recent first- Mon, 6:30 PM–9:30 PM ASEC303 2026202520252024-22024-12024-3
- Tue, 6:30 PM–9:30 PM JC217 2024-1
- Wed, 6:30 PM–9:30 PM JC105 2024-2
| Term | Professor | Type | Credits | Enrollment | CRN |
|---|---|---|---|---|---|
| Spring 2026 | Aghil Alaee Khangha | Lecture | 1 | 14 of 30 enrolled | 32722 |
| Fall 2025 | Aghil Alaee Khangha | Lecture | 1 | 13 of 30 enrolled | 21970 |
| Spring 2025 | Aghil Alaee Khangha | Lecture | 1 | 27 of 30 enrolled | 32722 |
| Fall 2024 | Aghil Alaee Khangha | Lecture | 1 | 9 of 30 enrolled | 23436 |
| Fall 2024 | Muhammad Ramzan (He/Him) | Lecture | 1 | 30 of 30 enrolled | 21303 |
| Fall 2024 | Aghil Alaee Khangha | Lecture | 1 | 30 of 30 enrolled | 21970 |
| Spring 2024 | Aghil Alaee Khangha | Lecture | 1 | 9 of 30 enrolled | 33244 |
| Spring 2024 | Muhammad Ramzan (He/Him) | Lecture | 1 | 30 of 30 enrolled | 30946 |
| Spring 2024 | Muhammad Ramzan (He/Him) | Lecture | 1 | 30 of 30 enrolled | 32085 |
| Spring 2024 | Aghil Alaee Khangha | Lecture | 1 | 30 of 30 enrolled | 32722 |
| Fall 2023 | Muhammad Ramzan (He/Him) | Lecture | 1 | 9 of 30 enrolled | 21303 |
| Fall 2023 | Muhammad Ramzan (He/Him) | Lecture | 1 | 21 of 30 enrolled | 21970 |
| Fall 2023 | Aghil Alaee Khangha | Lecture | 1 | 17 of 30 enrolled | 22634 |
| Summer 2023 | Aghil Alaee Khangha | Online | 1 | 5 of 30 enrolled | 11386 |
| Spring 2023 | Muhammad Ramzan (He/Him) | Online | 1 | 30 of 30 enrolled | 30946 |
| Spring 2023 | Aghil Alaee Khangha | Lecture | 1 | 24 of 30 enrolled | 32085 |
| Spring 2023 | Aghil Alaee Khangha | Lecture | 1 | 25 of 30 enrolled | 32722 |
| Fall 2022 | Muhammad Ramzan (He/Him) | Online | 1 | 25 of 30 enrolled | 21303 |
| Fall 2022 | Muhammad Ramzan (He/Him) | Online | 1 | 22 of 30 enrolled | 21970 |
| Summer 2022 | Rand Alfaris | Online | 1 | 10 of 20 enrolled | 11386 |
| Spring 2022 | Khald A. Aboalayon | Lecture | 1 | 7 of 25 enrolled | 32085 |
| Spring 2022 | Muhammad Ramzan (He/Him) | Online | 1 | 27 of 25 enrolled | 30946 |
| Fall 2021 | Rand Alfaris | Lecture | 1 | 9 of 20 enrolled | 28500 |
| Spring 2021 | Muhammad Ramzan (He/Him) | Online | 1 | 24 of 18 enrolled | 37922 |
| Summer 2020 | Muhammad Ramzan (He/Him) | Online | 1 | 6 of 25 enrolled | 11185 |
| Spring 2020 | Muhammad Ramzan (He/Him) | Lecture | 1 | 10 of 25 enrolled | 37922 |