Faculty Development Program · 2026

Python Programming for
Pharmaceutical Sciences

2-Week Faculty Development Program organized by the Department of Computer Science & Engineering, Medicaps University, Indore.

Dates 1st – 12th June 2026
Venue V Block – 005
Duration 2 Weeks
Mode Offline
Download Brochure View Schedule
12
Program Days
3
Trainers
60
Total Sessions
CSE
Dept. Organising
Offline
Mode
About This Program

About FDP 2026

The Department of Computer Science & Engineering at Medicaps University is organising a 2-Week Faculty Development Program on "Python Programming for Pharmaceutical Sciences" from 1st to 12th June 2026 at V Block – 005, Medicaps University, Indore, in Offline Mode. The program is designed for faculty members from Pharmacy discipline and professionals working in the pharmaceutical industry.

Python Fundamentals
Core programming concepts, data types, control flow, and functions tailored for pharmaceutical applications.
Data Analysis
Handling pharmaceutical datasets using Pandas, NumPy, and SciPy for evidence-based research.
Data Visualization
Creating meaningful charts and plots with Matplotlib and Seaborn for academic and research purposes.
Healthcare Applications
Python-driven solutions for healthcare data processing, automation, and problem-solving in pharmacy.
NEP & PCI Alignment
In alignment with the New Education Policy and revised Pharmacy Council of India (PCI) curriculum.
Hands-On Coding
Live coding sessions, case studies, and practical labs bridging digital tools with pharmaceutical education.
10Intensive days of hands-on Python programming and pharmaceutical data science workshops
CSEOrganized by the Department of Computer Science & Engineering, Medicaps University
WhoFaculty from Pharmacy discipline & professionals in the pharmaceutical industry
Fee₹3,000 for Medicaps members · ₹5,000 for Outsiders — pay via the official Medicaps portal
Program Schedule

2-Week Detailed Agenda

1st to 12th June 2026  ·  V Block – 005  ·  Offline Mode

WEEK 1  ·  June 1 – 5, 2026 (Mon – Fri)
Day 1 June 1 — Mon
Inaugural Ceremony & Introduction to Python Programming
Installing Python & IDEs (Jupyter, PyCharm, VS Code) · Advantages of IDEs · Python variables & data types (integers, floats, strings, booleans) · Type casting & basic operators
Day 2 June 2 — Tue
Python Fundamentals & Libraries
Input & output operations · Basic string operations & manipulation · Introduction to standard & third-party libraries · Installing & uninstalling libraries
Day 3 June 3 — Wed
Control Structures & Functions
Conditional statements (if, if-else, if-elif-else) · Nested conditions · Loops (for, while) · Break & continue statements
Day 4 June 4 — Thu
Functions & Modular Programming
Defining & calling functions · Passing arguments & returning values · Writing modular programs · Dosage calculation & BMI calculation applications
Day 5 June 5 — Fri
Data Structures & File Handling
Lists, tuples & dictionaries · Indexing & slicing · Basic operations on lists & dictionaries · String manipulation techniques
🗓 WEEKEND BREAK June 7 – 8 (Sat – Sun)
WEEK 2  ·  June 9 – 13, 2026 (Mon – Fri)
Day 6 June 9 — Mon
NumPy & Healthcare Datasets
Introduction to NumPy arrays · Array creation & arithmetic operations · Reading & writing CSV files · Understanding structured healthcare datasets · Importing & manipulating pharmaceutical datasets
Day 7 June 10 — Tue
Data Handling with Pandas
Introduction to Pandas · Series & DataFrame structures · Reading CSV & Excel files (PK study datasets, ADR reports) · Inspecting datasets using head(), tail(), info(), describe()
Day 8 June 11 — Wed
Pandas Advanced & Matplotlib Introduction
AM: Data cleaning · Handling missing values · Filtering & selecting data · Grouping & aggregation  |  PM: Introduction to Matplotlib · Line plots & histograms
Day 9 June 12 — Thu
Data Visualization with Matplotlib
Scatter plots & box plots · Labeling axes, titles & legends · Concentration-time curves (oral & IV) · ADR reporting rates · Dissolution profiles · Scientific interpretation of plots
Day 10 June 13 — Fri
Valedictory Ceremony & Certificate Distribution
Recap & Q&A session · Participant presentations · Feedback & assessment · Certificate distribution
🏆 VALEDICTORY & CERTIFICATE DISTRIBUTION June 13, 2026
Distinguished Trainers

Resource Person

Eminent academicians and experts delivering sessions across the 2-week program.

Dr. Sanket Gupta
Dr. Sanket Gupta
Assistant Professor, CSE
Medicaps University, Indore
Resource Person 1
Prof. Hemant K. Pathak
Prof. Hemant K. Pathak
Assistant Professor, CSE
Medicaps University, Indore
Resource Person 2
Prof. Jyotsana Goyal
Prof. Jyotsana Goyal
Assistant Professor, CSE
Medicaps University, Indore
Resource Person 3
Program Committee

Chairs, Co-Chair, Convener & Co-Conveners

Led by senior faculty of Medicaps University — Deans, HODs, and department faculty — ensuring a high-quality learning experience.

Program Chair
SJ
Prof. (Dr.) Sanjay Jain
Professor & Dean (Pharmacy), Medicaps University
Program Chair
RL
Prof. (Dr.) Ratnesh Litoriya
Associate Dean, CSE & Allied Branches, Medicaps University
Program Chair
Program Co-Chair
KB
Prof. (Dr.) Kailash Chandra Bandhu
HOD, CSE, Medicaps University
Program Co-Chair
Convener
SG
Dr. Sanket Gupta
Assistant Professor, CSE, Medicaps University
Convener
Co-Conveners
HK
Dr. Hemant Khambete
HOD, Pharmacy, Medicaps University
Co-Convener
AK
Prof. Ashish Kumawat
Assistant Professor, CSE, Medicaps University
Co-Convener
RA
Prof. Rajendra Arakh
Assistant Professor, CSE, Medicaps University
Co-Convener
Core Modules

What Will You Learn?

01
Python Fundamentals for Pharma
Variables, data types, control flow, functions, and object-oriented programming specifically applied to pharmaceutical use cases.
02
Pharmaceutical Data Handling
Working with clinical and pharmaceutical datasets using Pandas and NumPy — data cleaning, transformation, and statistical analysis.
03
Data Visualization & Reporting
Building informative charts and figures using Matplotlib and Seaborn to communicate research insights effectively.
04
Automation & Scripting
Automating repetitive pharmacy workflows, batch processing of lab data, and file management using Python scripts.
05
Healthcare AI Applications
Introduction to machine learning concepts for drug discovery, clinical trial analysis, and patient outcome prediction.
06
Integration with Teaching & Research
How to integrate Python into B.Pharm / M.Pharm curricula, conduct NEP-aligned sessions, and leverage computation for academic research publishing.
Get In Touch

Contact Us

SG
Convener
Dr. Sanket Gupta
Assistant Professor, CSE
Medicaps University, Indore
9713029078
HK
Co-Convener
Dr. Hemant Khambete
HOD, Pharmacy
Medicaps University, Indore
9893670420