The syllabus for Programming in C for B.Tech and M.Tech courses typically covers fundamental programming concepts, data types, control flow, functions, arrays, pointers, structures, and file handling. Specific topics and depth of coverage may vary between B.Tech and M.Tech programs, with M.Tech potentially delving deeper into advanced data structures and algorithms implemented in C. 

B.Tech Programming in C Syllabus:

• A typical B.Tech syllabus for Programming in C would include:
• Introduction to C: History, structure of a C program, basic syntax, compiling and running a C program. 
• Data Types, Constants, Variables, and Declarations: Integer, float, character, string, etc. 
• Operators: Arithmetic, relational, logical, bitwise, assignment, etc. 
• Control Flow: Conditional statements (if, else, switch), loops (for, while, do-while), jump statements (break, continue, goto). 
• Functions: Function definition, function call, function arguments, return values, recursion, scope rules. 
• Arrays: Single and multi-dimensional arrays, array manipulation, passing arrays to functions. 
• Pointers: Declaration, operations on pointers, pointer arithmetic, pointers to functions, dynamic memory allocation (malloc, calloc, free). 
• Strings: String manipulation, string library functions. 
• Structures and Unions: Defining and using structures and unions, accessing members, arrays of structures, pointers to structures. 
• File Handling: Opening, closing, reading, and writing files. 
• Preprocessor Directives: #include, #define, conditional compilation. 

M.Tech Programming in C Syllabus:

• M.Tech programs, especially in Computer Science, might build upon the B.Tech foundation by covering: 
• Advanced Data Structures:
  Linked lists, stacks, queues, trees (binary trees, binary search trees, AVL trees, B-trees), graphs, heaps.
• Algorithm Design and Analysis:
  Time and space complexity analysis, sorting and searching algorithms (efficient implementations in C), graph algorithms (shortest path, minimum spanning tree), dynamic programming.
• Advanced Programming Techniques:
  Memory management, optimization techniques, debugging strategies.
• Operating System Concepts:
  Understanding how C is used in systems programming (e.g., process creation, memory management, file system interactions).
• Object-Oriented Programming (OOP) Concepts in C:
  While C is not an OOP language, some concepts like data abstraction and modularity can be implemented using structures and functions.

General Notes:

• Both B.Tech and M.Tech courses may include practical sessions and projects to reinforce learning. 
• The syllabus might also include topics like error handling, debugging, and best practices for writing clean and efficient C code. 
• M.Tech courses might focus on more complex projects that require a deeper understanding of C programming and its applications in specific areas. 
• Specific topics and the level of depth can vary based on the institution and the specific specialization within the B.Tech or M.Tech program, according to several university resources.