10 finger typing

Book : A tour of C++

Topics: Modern C++ features
C++:
    Topics:
        git,

        move semantics,

        smart pointers,

        templates,

        multithreading
            Pthreads basics,
            C++ threads,
            std::async,

        Code hygiene & static analysis
            GDB:
                Reproduce a small memory bug and fix it.
                Try to learn  how a reference and pointer in assembly looks like.
            valgrind
            ASAN
            UBSAN
            TSAN
            gtest

        CMake,

        unit tests
            googletest,

        pybind11.
    
    Projects:
        1. Ray Tracing
        2. Re-implement 4S-SROF in C++
            Q1 micro-project: C++ image loader + simple difference-based drop detector. CI + unit tests + benchmark vs Python.
        3. Implement a producer/consumer camera simulator with a thread for capture and a thread for processing; debug and fix race conditions.
            Q2 micro-project: Threaded capture→process pipeline with race detection fixed and sanitizers enabled.

Book: Effective C++ + C++ Concurrency in Action.

---
Milestone: Threaded pipeline that ingests synthetic frames at target rate and processes with no data races; documented profiling run.
Q3 (months 7–9) — Numerical methods & inverse problems intro
    Topics: PDE basics, discretization, Tikhonov regularization, adjoint concept introduction.
    Tools: Implement small solvers (conjugate gradients), use numpy/scipy.
    Project: Solve a simple inverse problem (1D/2D Poisson inverse) and demonstrate regularization and parameter selection (L-curve).
    Reading: Nocedal & Wright (selected chapters); papers on inverse problems.

---
Milestone: Notebook + report showing stable reconstructions and hyperparameter studies.
Q4 (months 10–12) — Computer vision & optics foundations
    Topics: Camera models, calibration, photogrammetry basics, reflection models (Lambertian, specular), photometric stereo basics.
    Tools: OpenCV, COLMAP (learn to run an SfM tool).
    Project: Calibrate camera(s) and reconstruct a simple scene using multi-view / photometric methods; quantify re-projection error.
    Milestone:** Working pipeline that takes video frames → calibrated intrinsics → sparse 3D reconstruction.**


## Other skills
Concrete micro-projects (first 6 months)
    
    Q3 micro-project: Small inverse Poisson problem solved with CG and Tikhonov; plot L-curve and discuss regularization.
    Q4 micro-project: Calibrate camera & compute reprojection error on a small dataset; produce rendered overlay.

Weekly / monthly cadence & study time
    Weekly: 50-70 hrs study + project work. 
    
    Split:  40% reading/lectures,
            50% hands-on coding/experiments,
            10% writing/documentation.

    End of each quarter: deliver a short report (2–4 pages) and a runnable artifact (repo, jupyter notebook, binary) showing results and reproducing key numbers.


## Missing skills / gaps I see (explicit)
CUDA:   
    NVidia Nsight
    Intel VTune
    perf

Advanced data structures/algorithms
Numerical linear algebra (beyond basics)
Finite-volume/finite-element CFD basics — useful to understand fluids when you need physical priors.